def test_stretch_01(self):
tb = self.tb
data = 10*[1,]
data0 = [x / 20.0 for x in data]
data1 = [x / 10.0 for x in data]
expected_result0 = 10*[0.05,]
expected_result1 = 10*[0.1,]
src0 = blocks.vector_source_f(data0, False)
src1 = blocks.vector_source_f(data1, False)
inter = blocks.streams_to_vector(gr.sizeof_float, 2)
op = blocks.stretch_ff(0.1, 2)
deinter = blocks.vector_to_streams(gr.sizeof_float, 2)
dst0 = blocks.vector_sink_f()
dst1 = blocks.vector_sink_f()
tb.connect(src0, (inter,0))
tb.connect(src1, (inter,1))
tb.connect(inter, op)
tb.connect(op, deinter)
tb.connect((deinter,0), dst0)
tb.connect((deinter,1), dst1)
tb.run()
dst0_data = dst0.data()
dst1_data = dst1.data()
self.assertFloatTuplesAlmostEqual(expected_result0, dst0_data, 4)
self.assertFloatTuplesAlmostEqual(expected_result1, dst1_data, 4)
def test_vector_int(self):
tb = self.tb
vlen = 5
N = 10 * vlen
data = make_random_float_tuple(N, 2**10)
data = [int(d * 1000) for d in data]
src = blocks.vector_source_i(data, False)
one_to_many = blocks.stream_to_streams(gr.sizeof_int, vlen)
one_to_vector = blocks.stream_to_vector(gr.sizeof_int, vlen)
many_to_vector = blocks.streams_to_vector(gr.sizeof_int, vlen)
isolated = [blocks.moving_average_ii(100, 1) for i in range(vlen)]
dut = blocks.moving_average_ii(100, 1, vlen=vlen)
dut_dst = blocks.vector_sink_i(vlen=vlen)
ref_dst = blocks.vector_sink_i(vlen=vlen)
tb.connect(src, one_to_many)
tb.connect(src, one_to_vector, dut, dut_dst)
tb.connect(many_to_vector, ref_dst)
for idx, single in enumerate(isolated):
tb.connect((one_to_many, idx), single, (many_to_vector, idx))
tb.run()
dut_data = dut_dst.data()
ref_data = ref_dst.data()
# make sure result is close to zero
self.assertTupleEqual(dut_data, ref_data)
def test_03(self):
tb = self.tb
vlen = 5
N = 10*vlen
seed = 0
data = make_random_float_tuple(N, 2**10)
data = [int(d*1000) for d in data]
src = blocks.vector_source_i(data, False)
one_to_many = blocks.stream_to_streams(gr.sizeof_int, vlen)
one_to_vector = blocks.stream_to_vector(gr.sizeof_int, vlen)
many_to_vector = blocks.streams_to_vector(gr.sizeof_int, vlen)
isolated = [ blocks.moving_average_ii(100, 1) for i in range(vlen)]
dut = blocks.moving_average_ii(100, 1, vlen=vlen)
dut_dst = blocks.vector_sink_i(vlen=vlen)
ref_dst = blocks.vector_sink_i(vlen=vlen)
tb.connect(src, one_to_many)
tb.connect(src, one_to_vector, dut, dut_dst)
tb.connect(many_to_vector, ref_dst)
for idx, single in enumerate(isolated):
tb.connect((one_to_many,idx), single, (many_to_vector,idx))
tb.run()
dut_data = dut_dst.data()
ref_data = ref_dst.data()
# make sure result is close to zero
self.assertTupleEqual(dut_data, ref_data)
def test_stretch_01(self):
tb = self.tb
data = 10*[1,]
data0 = map(lambda x: x/20.0, data)
data1 = map(lambda x: x/10.0, data)
expected_result0 = 10*[0.05,]
expected_result1 = 10*[0.1,]
src0 = blocks.vector_source_f(data0, False)
src1 = blocks.vector_source_f(data1, False)
inter = blocks.streams_to_vector(gr.sizeof_float, 2)
op = blocks.stretch_ff(0.1, 2)
deinter = blocks.vector_to_streams(gr.sizeof_float, 2)
dst0 = blocks.vector_sink_f()
dst1 = blocks.vector_sink_f()
tb.connect(src0, (inter,0))
tb.connect(src1, (inter,1))
tb.connect(inter, op)
tb.connect(op, deinter)
tb.connect((deinter,0), dst0)
tb.connect((deinter,1), dst1)
tb.run()
dst0_data = dst0.data()
dst1_data = dst1.data()
self.assertFloatTuplesAlmostEqual(expected_result0, dst0_data, 4)
self.assertFloatTuplesAlmostEqual(expected_result1, dst1_data, 4)
def __init__(self, filename, dev_addrs,
onebit, gain, digital_gain, fs, fc, sync_pps):
gr.top_block.__init__(self)
if onebit:
raise NotImplementedError("TODO: 1-bit mode not implemented.")
uhd_srcs = [
uhd.usrp_source(",".join(
[addr, "num_recv_frames=256,recv_frame_size=16384"]),
uhd.stream_args(
cpu_format="fc32",
otwformat="sc16",
channels=[0]))
for addr in dev_addrs]
str2vec = blocks.streams_to_vector(2, len(uhd_srcs))
self.connect(str2vec,
blocks.stream_to_vector(2 * len(uhd_srcs), 16*1024*1024),
blocks.file_sink(2 * len(uhd_srcs) * 16 * 1024 * 1024, filename, False))
for ix, src in enumerate(uhd_srcs):
src.set_clock_rate(fs*2, uhd.ALL_MBOARDS)
src.set_samp_rate(fs)
src.set_center_freq(uhd.tune_request(fc, 3e6))
src.set_gain(gain, 0)
# TODO Use offset tuning?
if sync_pps:
src.set_clock_source("external") # 10 MHz
src.set_time_source("external") # PPS
self.connect(src, # [-1.0, 1.0]
blocks.multiply_const_cc(32767 * digital_gain[ix]), # [-32767.0, 32767.0]
blocks.complex_to_interleaved_short(), #[-32768, 32767]
blocks.short_to_char(), #[-128, 127]
blocks.stream_to_vector(1, 2), # I,Q,I,Q -> IQ, IQ
(str2vec, ix))
print "Setting clocks..."
if sync_pps:
time.sleep(1.1) # Ensure there's been an edge. TODO: necessary?
last_pps_time = uhd_srcs[0].get_time_last_pps()
while last_pps_time == uhd_srcs[0].get_time_last_pps():
time.sleep(0.1)
print "Got edge"
[src.set_time_next_pps(uhd.time_spec(round(time.time())+1)) for src in uhd_srcs]
time.sleep(1.0) # Wait for edge to set the clocks
else:
# No external PPS/10 MHz. Just set each clock and accept some skew.
t = time.time()
[src.set_time_now(uhd.time_spec(time.time())) for src in uhd_srcs]
if len(uhd_srcs) > 1:
print "Uncabled; loosely synced only. Initial skew ~ %.1f ms" % (
(time.time()-t) * 1000)
t_start = uhd.time_spec(time.time() + 1.5)
[src.set_start_time(t_start) for src in uhd_srcs]
print "ready"
def connect_audio_output(self, l_endpoint, r_endpoint=None):
stereo = r_endpoint is not None
assert stereo == (self.__channels == 2)
if stereo:
joiner = blocks.streams_to_vector(gr.sizeof_float, 2)
self.connect(l_endpoint, (joiner, 0), self)
self.connect(r_endpoint, (joiner, 1))
else:
self.connect(l_endpoint, self)
def connect_audio_output(self, l_endpoint, r_endpoint=None):
stereo = r_endpoint is not None
assert stereo == (self.__channels == 2)
if stereo:
joiner = blocks.streams_to_vector(gr.sizeof_float, 2)
self.connect(l_endpoint, (joiner, 0), self)
self.connect(r_endpoint, (joiner, 1))
else:
self.connect(l_endpoint, self)
def connect_audio_output(self, l_endpoint, r_endpoint=None):
# TODO: Convert this into a separate helper function?
stereo = r_endpoint is not None
assert stereo == (self.__channels == 2)
if stereo:
joiner = blocks.streams_to_vector(gr.sizeof_float, 2)
self.connect(l_endpoint, (joiner, 0), self)
self.connect(r_endpoint, (joiner, 1))
else:
self.connect(l_endpoint, self)
def connect_audio_output(self, l_endpoint, r_endpoint=None):
# TODO: Convert this into a separate helper function?
stereo = r_endpoint is not None
assert stereo == (self.__channels == 2)
if stereo:
joiner = blocks.streams_to_vector(gr.sizeof_float, 2)
self.connect(l_endpoint, (joiner, 0), self)
self.connect(r_endpoint, (joiner, 1))
else:
self.connect(l_endpoint, self)
def __do_connect(self, reason):
# log.msg(u'receiver do_connect: %s' % (reason,))
self.context.lock()
try:
self.disconnect_all()
# Connect input of demodulator
if self.__demod_tunable:
self.connect(self, self.__demodulator)
else:
self.connect(self, self.__rotator, self.__demodulator)
if self.__demod_output:
# Construct stereo-to-mono conversion (used at least for level probe)
if self.__demod_stereo:
splitter = blocks.vector_to_streams(gr.sizeof_float, 2)
mono_audio = blocks.multiply_matrix_ff(((0.5, 0.5), ))
self.connect(self.__demodulator, splitter)
self.connect((splitter, 0), (mono_audio, 0))
self.connect((splitter, 1), (mono_audio, 1))
else:
mono_audio = self.__demodulator
# Connect mono audio to level probe
self.connect(mono_audio, self.probe_audio)
# Connect demodulator to output gain control, converting as needed
if (self.__audio_channels == 2) == self.__demod_stereo:
# stereo to stereo or mono to mono
self.connect(self.__demodulator, self.__audio_gain_block)
elif self.__audio_channels == 2 and not self.__demod_stereo:
# mono to stereo
duplicator = blocks.streams_to_vector(gr.sizeof_float, 2)
self.connect(self.__demodulator, (duplicator, 0))
self.connect(self.__demodulator, (duplicator, 1))
self.connect(duplicator, self.__audio_gain_block)
elif self.__audio_channels == 1 and self.__demod_stereo:
# stereo to mono
self.connect(mono_audio, self.__audio_gain_block)
else:
raise Exception('shouldn\'t happen')
# Connect gain control to output of receiver
self.connect(self.__audio_gain_block, self)
else:
# Dummy output, ignored by containing block
self.connect(
blocks.vector_source_f([], vlen=self.__audio_channels),
self)
if self.__output_type != self.__last_output_type:
self.__last_output_type = self.__output_type
self.context.changed_needed_connections(u'changed output type')
finally:
self.context.unlock()
def __do_connect(self, reason):
# log.msg(u'receiver do_connect: %s' % (reason,))
self.context.lock()
try:
self.disconnect_all()
# Connect input of demodulator
if self.__demod_tunable:
self.connect(self, self.__demodulator)
else:
self.connect(self, self.__rotator, self.__demodulator)
if self.__demod_output:
# Construct stereo-to-mono conversion (used at least for level probe)
if self.__demod_stereo:
splitter = blocks.vector_to_streams(gr.sizeof_float, 2)
mono_audio = blocks.multiply_matrix_ff(((0.5, 0.5),))
self.connect(self.__demodulator, splitter)
self.connect((splitter, 0), (mono_audio, 0))
self.connect((splitter, 1), (mono_audio, 1))
else:
mono_audio = self.__demodulator
# Connect mono audio to level probe
self.connect(mono_audio, self.probe_audio)
# Connect demodulator to output gain control, converting as needed
if (self.__audio_channels == 2) == self.__demod_stereo:
# stereo to stereo or mono to mono
self.connect(self.__demodulator, self.__audio_gain_block)
elif self.__audio_channels == 2 and not self.__demod_stereo:
# mono to stereo
duplicator = blocks.streams_to_vector(gr.sizeof_float, 2)
self.connect(self.__demodulator, (duplicator, 0))
self.connect(self.__demodulator, (duplicator, 1))
self.connect(duplicator, self.__audio_gain_block)
elif self.__audio_channels == 1 and self.__demod_stereo:
# stereo to mono
self.connect(mono_audio, self.__audio_gain_block)
else:
raise Exception('shouldn\'t happen')
# Connect gain control to output of receiver
self.connect(self.__audio_gain_block, self)
else:
# Dummy output, ignored by containing block
self.connect(
blocks.vector_source_f([], vlen=self.__audio_channels),
self)
if self.__output_type != self.__last_output_type:
self.__last_output_type = self.__output_type
self.context.changed_needed_connections(u'changed output type')
finally:
self.context.unlock()
def add_audio_queue(self, queue, queue_rate): # TODO: place limit on maximum requested sample rate sink = blocks.message_sink( gr.sizeof_float * num_audio_channels, queue, True) interleaver = blocks.streams_to_vector(gr.sizeof_float, num_audio_channels) # TODO: bundle the interleaver and sink in a hier block so it doesn't have to be reconnected self.audio_queue_sinks[queue] = (queue_rate, interleaver, sink) self.__needs_reconnect = True self._do_connect() self.__start_or_stop()
def __init__(self, channels, queue):
gr.hier_block2.__init__(
self,
"ShinySDR AudioQueueSink",
gr.io_signature(channels, channels, gr.sizeof_float),
gr.io_signature(0, 0, 0),
)
sink = blocks.message_sink(gr.sizeof_float * channels, queue, True)
if channels == 1:
self.connect((self, 0), sink)
else:
interleaver = blocks.streams_to_vector(gr.sizeof_float, channels)
for ch in xrange(channels):
self.connect((self, ch), (interleaver, ch))
self.connect(interleaver, sink)
def __init__(self, channels, queue):
gr.hier_block2.__init__(
self,
'ShinySDR AudioQueueSink',
gr.io_signature(channels, channels, gr.sizeof_float),
gr.io_signature(0, 0, 0),
)
sink = blocks.message_sink(gr.sizeof_float * channels, queue, True)
if channels == 1:
self.connect((self, 0), sink)
else:
interleaver = blocks.streams_to_vector(gr.sizeof_float, channels)
for ch in xrange(channels):
self.connect((self, ch), (interleaver, ch))
self.connect(interleaver, sink)
def __init__(self, mpoints, taps=None):
"""
Takes 1 complex stream in, produces M complex streams out
that runs at 1/M times the input sample rate
Args:
mpoints: number of freq bins/interpolation factor/subbands
taps: filter taps for subband filter
Same channel to frequency mapping as described above.
"""
item_size = gr.sizeof_gr_complex
gr.hier_block2.__init__(
self,
"analysis_filterbank",
gr.io_signature(1, 1, item_size), # Input signature
gr.io_signature(mpoints, mpoints, item_size)) # Output signature
if taps is None:
taps = _generate_synthesis_taps(mpoints)
# pad taps to multiple of mpoints
r = len(taps) % mpoints
if r != 0:
taps = taps + (mpoints - r) * (0, )
# split in mpoints separate set of taps
sub_taps = _split_taps(taps, mpoints)
# print(>> sys.stderr, "mpoints =", mpoints, "len(sub_taps) =", len(sub_taps))
self.s2ss = blocks.stream_to_streams(item_size, mpoints)
# filters here
self.ss2v = blocks.streams_to_vector(item_size, mpoints)
self.fft = fft.fft_vcc(mpoints, True, [])
self.v2ss = blocks.vector_to_streams(item_size, mpoints)
self.connect(self, self.s2ss)
# build mpoints fir filters...
for i in range(mpoints):
f = fft_filter_ccc(1, sub_taps[mpoints - i - 1])
self.connect((self.s2ss, i), f)
self.connect(f, (self.ss2v, i))
self.connect((self.v2ss, i), (self, i))
self.connect(self.ss2v, self.fft, self.v2ss)
def __init__(self, mpoints, taps=None):
"""
Takes 1 complex stream in, produces M complex streams out
that runs at 1/M times the input sample rate
Args:
mpoints: number of freq bins/interpolation factor/subbands
taps: filter taps for subband filter
Same channel to frequency mapping as described above.
"""
item_size = gr.sizeof_gr_complex
gr.hier_block2.__init__(self, "analysis_filterbank",
gr.io_signature(1, 1, item_size), # Input signature
gr.io_signature(mpoints, mpoints, item_size)) # Output signature
if taps is None:
taps = _generate_synthesis_taps(mpoints)
# pad taps to multiple of mpoints
r = len(taps) % mpoints
if r != 0:
taps = taps + (mpoints - r) * (0,)
# split in mpoints separate set of taps
sub_taps = _split_taps(taps, mpoints)
# print >> sys.stderr, "mpoints =", mpoints, "len(sub_taps) =", len(sub_taps)
self.s2ss = blocks.stream_to_streams(item_size, mpoints)
# filters here
self.ss2v = blocks.streams_to_vector(item_size, mpoints)
self.fft = fft.fft_vcc(mpoints, True, [])
self.v2ss = blocks.vector_to_streams(item_size, mpoints)
self.connect(self, self.s2ss)
# build mpoints fir filters...
for i in range(mpoints):
f = fft_filter_ccc(1, sub_taps[mpoints-i-1])
self.connect((self.s2ss, i), f)
self.connect(f, (self.ss2v, i))
self.connect((self.v2ss, i), (self, i))
self.connect(self.ss2v, self.fft, self.v2ss)
def __init__(self, mode, input_rate, context):
channels = 2
audio_rate = 10000
gr.hier_block2.__init__(
self, str('%s demodulator' % (mode,)),
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(1, 1, gr.sizeof_float * channels))
self.__input_rate = input_rate
self.__rec_freq_input = 0.0
self.__signal_type = SignalType(kind='STEREO', sample_rate=audio_rate)
# Using agc2 rather than feedforward AGC for efficiency, because this runs at the RF rate rather than the audio rate.
agc_block = analog.agc2_cc(reference=dB(-8))
agc_block.set_attack_rate(8e-3)
agc_block.set_decay_rate(8e-3)
agc_block.set_max_gain(dB(40))
self.connect(
self,
agc_block)
channel_joiner = blocks.streams_to_vector(gr.sizeof_float, channels)
self.connect(channel_joiner, self)
for channel in xrange(0, channels):
self.connect(
agc_block,
grfilter.fir_filter_ccc(1, design_sawtooth_filter(decreasing=channel == 0)),
blocks.complex_to_mag(1),
blocks.float_to_complex(), # So we can use the complex-input band filter. TODO eliminate this for efficiency
MultistageChannelFilter(
input_rate=input_rate,
output_rate=audio_rate,
cutoff_freq=5000,
transition_width=5000),
blocks.complex_to_real(),
# assuming below 40Hz is not of interest
grfilter.dc_blocker_ff(audio_rate // 40, False),
(channel_joiner, channel))
def __init__(self, mode, input_rate, context):
channels = 2
audio_rate = 10000
gr.hier_block2.__init__(
self, str('%s demodulator' % (mode,)),
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(1, 1, gr.sizeof_float * channels))
self.__input_rate = input_rate
self.__rec_freq_input = 0.0
self.__signal_type = SignalType(kind='STEREO', sample_rate=audio_rate)
# Using agc2 rather than feedforward AGC for efficiency, because this runs at the RF rate rather than the audio rate.
agc_block = analog.agc2_cc(reference=dB(-8))
agc_block.set_attack_rate(8e-3)
agc_block.set_decay_rate(8e-3)
agc_block.set_max_gain(dB(40))
self.connect(
self,
agc_block)
channel_joiner = blocks.streams_to_vector(gr.sizeof_float, channels)
self.connect(channel_joiner, self)
for channel in six.moves.range(0, channels):
self.connect(
agc_block,
grfilter.fir_filter_ccc(1, design_sawtooth_filter(decreasing=channel == 0)),
blocks.complex_to_mag(1),
blocks.float_to_complex(), # So we can use the complex-input band filter. TODO eliminate this for efficiency
MultistageChannelFilter(
input_rate=input_rate,
output_rate=audio_rate,
cutoff_freq=5000,
transition_width=5000),
blocks.complex_to_real(),
# assuming below 40Hz is not of interest
grfilter.dc_blocker_ff(audio_rate // 40, False),
(channel_joiner, channel))
def __init__(self, in_rate, out_rate, vlen, complex=False):
# pylint: disable=redefined-builtin
vitemsize = gr.sizeof_gr_complex if complex else gr.sizeof_float
itemsize = vitemsize * vlen
gr.hier_block2.__init__(
self, type(self).__name__,
gr.io_signature(1, 1, itemsize),
gr.io_signature(1, 1, itemsize))
if vlen == 1:
self.connect(self, make_resampler(in_rate, out_rate, complex=complex), self)
else:
splitter = blocks.vector_to_streams(vitemsize, vlen)
joiner = blocks.streams_to_vector(vitemsize, vlen)
self.connect(self, splitter)
for ch in xrange(vlen):
self.connect(
(splitter, ch),
make_resampler(in_rate, out_rate, complex=complex),
(joiner, ch))
self.connect(joiner, self)
def test_003(self):
#Test streams_to_vector (using stream_to_streams & vector_to_stream).
n = 8
src_len = n * 8
src_data = tuple(range(src_len))
expected_results = src_data
src = blocks.vector_source_i(src_data)
op1 = blocks.stream_to_streams(gr.sizeof_int, n)
op2 = blocks.streams_to_vector(gr.sizeof_int, n)
op3 = blocks.vector_to_stream(gr.sizeof_int, n)
dst = blocks.vector_sink_i()
self.tb.connect(src, op1)
for i in range(n):
self.tb.connect((op1, i), (op2, i))
self.tb.connect(op2, op3, dst)
self.tb.run()
self.assertEqual(expected_results, dst.data())
def test_003(self):
#Test streams_to_vector (using stream_to_streams & vector_to_stream).
n = 8
src_len = n * 8
src_data = tuple(range(src_len))
expected_results = src_data
src = blocks.vector_source_i(src_data)
op1 = blocks.stream_to_streams(gr.sizeof_int, n)
op2 = blocks.streams_to_vector(gr.sizeof_int, n)
op3 = blocks.vector_to_stream(gr.sizeof_int, n)
dst = blocks.vector_sink_i()
self.tb.connect(src, op1)
for i in range(n):
self.tb.connect((op1, i), (op2, i))
self.tb.connect(op2, op3, dst)
self.tb.run()
self.assertEqual(expected_results, dst.data())
def __init__(self, in_rate, out_rate, vlen, complex=False):
# pylint: disable=redefined-builtin
vitemsize = gr.sizeof_gr_complex if complex else gr.sizeof_float
itemsize = vitemsize * vlen
gr.hier_block2.__init__(self,
type(self).__name__,
gr.io_signature(1, 1, itemsize),
gr.io_signature(1, 1, itemsize))
if vlen == 1:
self.connect(self,
make_resampler(in_rate, out_rate, complex=complex),
self)
else:
splitter = blocks.vector_to_streams(vitemsize, vlen)
joiner = blocks.streams_to_vector(vitemsize, vlen)
self.connect(self, splitter)
for ch in six.moves.range(vlen):
self.connect((splitter, ch),
make_resampler(in_rate, out_rate,
complex=complex), (joiner, ch))
self.connect(joiner, self)
def __init__(self, mpoints, taps=None):
"""
Takes M complex streams in, produces single complex stream out
that runs at M times the input sample rate
Args:
mpoints: number of freq bins/interpolation factor/subbands
taps: filter taps for subband filter
The channel spacing is equal to the input sample rate.
The total bandwidth and output sample rate are equal the input
sample rate * nchannels.
Output stream to frequency mapping:
channel zero is at zero frequency.
if mpoints is odd:
Channels with increasing positive frequencies come from
channels 1 through (N-1)/2.
Channel (N+1)/2 is the maximum negative frequency, and
frequency increases through N-1 which is one channel lower
than the zero frequency.
if mpoints is even:
Channels with increasing positive frequencies come from
channels 1 through (N/2)-1.
Channel (N/2) is evenly split between the max positive and
negative bins.
Channel (N/2)+1 is the maximum negative frequency, and
frequency increases through N-1 which is one channel lower
than the zero frequency.
Channels near the frequency extremes end up getting cut
off by subsequent filters and therefore have diminished
utility.
"""
item_size = gr.sizeof_gr_complex
gr.hier_block2.__init__(self, "synthesis_filterbank",
gr.io_signature(mpoints, mpoints, item_size), # Input signature
gr.io_signature(1, 1, item_size)) # Output signature
if taps is None:
taps = _generate_synthesis_taps(mpoints)
# pad taps to multiple of mpoints
r = len(taps) % mpoints
if r != 0:
taps = taps + (mpoints - r) * (0,)
# split in mpoints separate set of taps
sub_taps = _split_taps(taps, mpoints)
self.ss2v = blocks.streams_to_vector(item_size, mpoints)
self.ifft = fft.fft_vcc(mpoints, False, [])
self.v2ss = blocks.vector_to_streams(item_size, mpoints)
# mpoints filters go in here...
self.ss2s = blocks.streams_to_stream(item_size, mpoints)
for i in range(mpoints):
self.connect((self, i), (self.ss2v, i))
self.connect(self.ss2v, self.ifft, self.v2ss)
# build mpoints fir filters...
for i in range(mpoints):
f = fft_filter_ccc(1, sub_taps[i])
self.connect((self.v2ss, i), f)
self.connect(f, (self.ss2s, i))
self.connect(self.ss2s, self)
def __init__(self, filename):
gr.top_block.__init__(self, "Usrp Sink Vector")
##################################################
# Variables
##################################################
self.filename = filename
self.samp_rate = samp_rate = 2e6
self.TX_freqs = TX_freqs = (1e5, 1.5e5, 2e5, 2.5e5, 3e5, 3.5e5, 4e5,
4.5e5, 5e5, 5.5e5, 6e5, 6.5e5, 7e5, 7.5e5,
8e5)
##################################################
# Blocks
##################################################
self.uhd_usrp_source_0_0 = uhd.usrp_source(
",".join(("", "")),
uhd.stream_args(
cpu_format="fc32",
channels=range(1),
),
)
self.uhd_usrp_source_0_0.set_samp_rate(samp_rate)
self.uhd_usrp_source_0_0.set_center_freq(0, 0)
self.uhd_usrp_source_0_0.set_gain(0, 0)
self.multi_goertzel_0 = multi_goertzel(
freqs=self.TX_freqs,
goertzel_size=2048,
mult=2,
samp_rate=int(samp_rate),
)
self.blocks_streams_to_vector_0 = blocks.streams_to_vector(
gr.sizeof_float * 1, 15)
self.blocks_file_sink_0 = blocks.file_sink(gr.sizeof_float * 15,
filename, False)
self.blocks_file_sink_0.set_unbuffered(False)
##################################################
# Connections
##################################################
self.connect((self.blocks_streams_to_vector_0, 0),
(self.blocks_file_sink_0, 0))
self.connect((self.multi_goertzel_0, 0),
(self.blocks_streams_to_vector_0, 0))
self.connect((self.multi_goertzel_0, 1),
(self.blocks_streams_to_vector_0, 1))
self.connect((self.multi_goertzel_0, 10),
(self.blocks_streams_to_vector_0, 10))
self.connect((self.multi_goertzel_0, 11),
(self.blocks_streams_to_vector_0, 11))
self.connect((self.multi_goertzel_0, 12),
(self.blocks_streams_to_vector_0, 12))
self.connect((self.multi_goertzel_0, 13),
(self.blocks_streams_to_vector_0, 13))
self.connect((self.multi_goertzel_0, 14),
(self.blocks_streams_to_vector_0, 14))
self.connect((self.multi_goertzel_0, 2),
(self.blocks_streams_to_vector_0, 2))
self.connect((self.multi_goertzel_0, 3),
(self.blocks_streams_to_vector_0, 3))
self.connect((self.multi_goertzel_0, 4),
(self.blocks_streams_to_vector_0, 4))
self.connect((self.multi_goertzel_0, 5),
(self.blocks_streams_to_vector_0, 5))
self.connect((self.multi_goertzel_0, 6),
(self.blocks_streams_to_vector_0, 6))
self.connect((self.multi_goertzel_0, 7),
(self.blocks_streams_to_vector_0, 7))
self.connect((self.multi_goertzel_0, 8),
(self.blocks_streams_to_vector_0, 8))
self.connect((self.multi_goertzel_0, 9),
(self.blocks_streams_to_vector_0, 9))
self.connect((self.uhd_usrp_source_0_0, 0), (self.multi_goertzel_0, 0))
def __init__(self):
gr.top_block.__init__(self, "Top Block")
Qt.QWidget.__init__(self)
self.setWindowTitle("Top Block")
try:
self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc'))
except:
pass
self.top_scroll_layout = Qt.QVBoxLayout()
self.setLayout(self.top_scroll_layout)
self.top_scroll = Qt.QScrollArea()
self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame)
self.top_scroll_layout.addWidget(self.top_scroll)
self.top_scroll.setWidgetResizable(True)
self.top_widget = Qt.QWidget()
self.top_scroll.setWidget(self.top_widget)
self.top_layout = Qt.QVBoxLayout(self.top_widget)
self.top_grid_layout = Qt.QGridLayout()
self.top_layout.addLayout(self.top_grid_layout)
self.settings = Qt.QSettings("GNU Radio", "top_block")
self.restoreGeometry(self.settings.value("geometry").toByteArray())
##################################################
# Variables
##################################################
self.samp_rate = samp_rate = 15e6
self.integration_bandwidth = integration_bandwidth = 2.5e3
self.if_bandwidth_2 = if_bandwidth_2 = .75e6
self.dec_rate_1 = dec_rate_1 = 5
self.samp_rate_2 = samp_rate_2 = samp_rate / dec_rate_1
self.num_channels = num_channels = int(if_bandwidth_2 /
integration_bandwidth)
self.samp_rate_3 = samp_rate_3 = samp_rate_2 / num_channels
self.integration_time = integration_time = .5
self.variable_function_probe = variable_function_probe = 0
self.output_samp_rate = output_samp_rate = 1.0 / integration_time
self.integration_dec_rate = integration_dec_rate = int(
integration_time * samp_rate_3 / 2)
self.if_bandwidth_0 = if_bandwidth_0 = 4.5e6
self.gain = gain = 60
self.freq = freq = 1.4204e9
self.channel_map = channel_map = range(
int(num_channels / 2.0 + 1.0), num_channels, 1) + range(
0, int(num_channels / 2.0 + 1.0), 1)
##################################################
# Blocks
##################################################
self.probe_signal = blocks.probe_signal_vf(num_channels)
self._gain_range = Range(0, 70, 1, 60, 200)
self._gain_win = RangeWidget(self._gain_range, self.set_gain, "gain",
"counter_slider", int)
self.top_layout.addWidget(self._gain_win)
def _variable_function_probe_probe():
while True:
val = self.probe_signal.level()
try:
self.set_variable_function_probe(val)
except AttributeError:
pass
pytime.sleep(1.0 / (10))
_variable_function_probe_thread = threading.Thread(
target=_variable_function_probe_probe)
_variable_function_probe_thread.daemon = True
_variable_function_probe_thread.start()
self.pfb_channelizer_ccf_0 = pfb.channelizer_ccf(
num_channels,
(firdes.low_pass(1, samp_rate_2, integration_bandwidth, 250,
firdes.WIN_HAMMING)), 1.0, 0)
self.pfb_channelizer_ccf_0.set_channel_map((channel_map))
self.pfb_channelizer_ccf_0.declare_sample_delay(0)
self.low_pass_filter_1 = filter.fir_filter_ccf(
dec_rate_1,
firdes.low_pass(10, samp_rate, if_bandwidth_2, 1e5,
firdes.WIN_HAMMING, 6.76))
self.limesdr_source_2 = limesdr.source('0009072C02873717', 2, 1, 0, 0,
'', freq - 800e3, samp_rate, 0,
1, 15e6, 0, 10e6, 3, 2, 2, 1,
if_bandwidth_0, 1, 5e6, 1,
if_bandwidth_0, 0, 0, gain, 30,
0, 0, 0, 0)
self.blocks_streams_to_vector_0 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 1, num_channels)
self.blocks_multiply_xx_1 = blocks.multiply_vcc(1)
self.blocks_integrate_xx_0_0 = blocks.integrate_ff(
integration_dec_rate, num_channels)
self.blocks_file_sink_0 = blocks.file_sink(
gr.sizeof_gr_complex * 1,
'/home/w1xm-admin/Documents/DSP/data_out/recieve_block_sink',
False)
self.blocks_file_sink_0.set_unbuffered(False)
self.blocks_copy_0_0 = blocks.copy(gr.sizeof_gr_complex * 1)
self.blocks_copy_0_0.set_enabled(False)
self.blocks_copy_0 = blocks.copy(gr.sizeof_gr_complex * 1)
self.blocks_copy_0.set_enabled(True)
self.blocks_complex_to_mag_squared_0 = blocks.complex_to_mag_squared(
num_channels)
self.analog_sig_source_x_0 = analog.sig_source_c(
samp_rate, analog.GR_SIN_WAVE, -800e3, 1, 0)
##################################################
# Connections
##################################################
self.connect((self.analog_sig_source_x_0, 0),
(self.blocks_multiply_xx_1, 1))
self.connect((self.blocks_complex_to_mag_squared_0, 0),
(self.blocks_integrate_xx_0_0, 0))
self.connect((self.blocks_copy_0, 0), (self.blocks_multiply_xx_1, 0))
self.connect((self.blocks_copy_0_0, 0), (self.blocks_file_sink_0, 0))
self.connect((self.blocks_integrate_xx_0_0, 0), (self.probe_signal, 0))
self.connect((self.blocks_multiply_xx_1, 0),
(self.low_pass_filter_1, 0))
self.connect((self.blocks_streams_to_vector_0, 0),
(self.blocks_complex_to_mag_squared_0, 0))
self.connect((self.limesdr_source_2, 0), (self.blocks_copy_0, 0))
self.connect((self.limesdr_source_2, 0), (self.blocks_copy_0_0, 0))
self.connect((self.low_pass_filter_1, 0),
(self.pfb_channelizer_ccf_0, 0))
for i in range(num_channels):
self.connect((self.pfb_channelizer_ccf_0, i),
(self.blocks_streams_to_vector_0, i))
def __init__(self):
gr.top_block.__init__(self, "udp-recive")
Qt.QWidget.__init__(self)
self.setWindowTitle("udp-recive")
qtgui.util.check_set_qss()
try:
self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc'))
except:
pass
self.top_scroll_layout = Qt.QVBoxLayout()
self.setLayout(self.top_scroll_layout)
self.top_scroll = Qt.QScrollArea()
self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame)
self.top_scroll_layout.addWidget(self.top_scroll)
self.top_scroll.setWidgetResizable(True)
self.top_widget = Qt.QWidget()
self.top_scroll.setWidget(self.top_widget)
self.top_layout = Qt.QVBoxLayout(self.top_widget)
self.top_grid_layout = Qt.QGridLayout()
self.top_layout.addLayout(self.top_grid_layout)
self.settings = Qt.QSettings("GNU Radio", "top_block")
try:
if StrictVersion(Qt.qVersion()) < StrictVersion("5.0.0"):
self.restoreGeometry(
self.settings.value("geometry").toByteArray())
else:
self.restoreGeometry(self.settings.value("geometry"))
except:
pass
##################################################
# Variables
##################################################
self.samp_rate = samp_rate = 850e3
self.dec = dec = 25
self.freq_0 = freq_0 = 137.50625e6
self.bandwidth = bandwidth = 34e3
self.RF_gain = RF_gain = 40
self.Out_samprate = Out_samprate = samp_rate / dec
self.NOAA19 = NOAA19 = -0.40625e6
self.NOAA18 = NOAA18 = 0.40625e6
self.NOAA15 = NOAA15 = 0.11375e6
self.IF_gain = IF_gain = 40
##################################################
# Blocks
##################################################
self.rational_resampler_xxx_0 = filter.rational_resampler_fff(
interpolation=11025,
decimation=34000,
taps=None,
fractional_bw=None)
self.qtgui_sink_x_0 = qtgui.sink_c(
2048, #fftsize
firdes.WIN_HAMMING, #wintype
0, #fc
34e3, #bw
"output sink", #name
True, #plotfreq
True, #plotwaterfall
False, #plottime
False #plotconst
)
self.qtgui_sink_x_0.set_update_time(1.0 / 10)
self._qtgui_sink_x_0_win = sip.wrapinstance(
self.qtgui_sink_x_0.pyqwidget(), Qt.QWidget)
self.qtgui_sink_x_0.enable_rf_freq(False)
self.top_grid_layout.addWidget(self._qtgui_sink_x_0_win)
self.qtgui_sink_x_0.set_block_alias("output sink")
self.qtgui_number_sink_0 = qtgui.number_sink(gr.sizeof_short, 0,
qtgui.NUM_GRAPH_NONE, 1)
self.qtgui_number_sink_0.set_update_time(0.1)
self.qtgui_number_sink_0.set_title("Selected channel")
labels = ['', '', '', '', '', '', '', '', '', '']
units = ['', '', '', '', '', '', '', '', '', '']
colors = [("black", "black"), ("black", "black"), ("black", "black"),
("black", "black"), ("black", "black"), ("black", "black"),
("black", "black"), ("black", "black"), ("black", "black"),
("black", "black")]
factor = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
for i in range(1):
self.qtgui_number_sink_0.set_min(i, 0)
self.qtgui_number_sink_0.set_max(i, 2)
self.qtgui_number_sink_0.set_color(i, colors[i][0], colors[i][1])
if len(labels[i]) == 0:
self.qtgui_number_sink_0.set_label(i, "Data {0}".format(i))
else:
self.qtgui_number_sink_0.set_label(i, labels[i])
self.qtgui_number_sink_0.set_unit(i, units[i])
self.qtgui_number_sink_0.set_factor(i, factor[i])
self.qtgui_number_sink_0.enable_autoscale(False)
self._qtgui_number_sink_0_win = sip.wrapinstance(
self.qtgui_number_sink_0.pyqwidget(), Qt.QWidget)
self.top_grid_layout.addWidget(self._qtgui_number_sink_0_win)
self.blocks_udp_source_0_2 = blocks.udp_source(
gr.sizeof_gr_complex * 1, '0.0.0.0', 1232, 4000, True)
self.blocks_udp_source_0_1 = blocks.udp_source(
gr.sizeof_gr_complex * 1, '0.0.0.0', 1230, 4000, True)
self.blocks_udp_source_0 = blocks.udp_source(gr.sizeof_gr_complex * 1,
'0.0.0.0', 1231, 4000,
True)
self.blocks_udp_sink_0 = blocks.udp_sink(gr.sizeof_float * 1,
'localhost', 7355, 1225, True)
self.blocks_threshold_ff_0_1 = blocks.threshold_ff(1.5, 2.5, 0)
self.blocks_threshold_ff_0_0 = blocks.threshold_ff(0.5, 1.5, 0)
self.blocks_threshold_ff_0 = blocks.threshold_ff(-0.5, 0.5, 0)
self.blocks_streams_to_vector_0 = blocks.streams_to_vector(
gr.sizeof_float * 1, 3)
self.blocks_short_to_float_0 = blocks.short_to_float(1, 1)
self.blocks_null_sink_0 = blocks.null_sink(gr.sizeof_short * 1)
self.blocks_multiply_xx_2 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_1 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_0 = blocks.multiply_vcc(1)
self.blocks_moving_average_2_0 = blocks.moving_average_ff(
4000, 1, 4000, 1)
self.blocks_moving_average_2 = blocks.moving_average_ff(
4000, 1, 4000, 1)
self.blocks_moving_average_1 = blocks.moving_average_ff(
4000, 1, 4000, 1)
self.blocks_float_to_complex_1_1 = blocks.float_to_complex(1)
self.blocks_float_to_complex_1_0 = blocks.float_to_complex(1)
self.blocks_float_to_complex_1 = blocks.float_to_complex(1)
self.blocks_complex_to_mag_squared_0_1 = blocks.complex_to_mag_squared(
1)
self.blocks_complex_to_mag_squared_0_0 = blocks.complex_to_mag_squared(
1)
self.blocks_complex_to_mag_squared_0 = blocks.complex_to_mag_squared(1)
self.blocks_argmax_xx_0 = blocks.argmax_fs(3)
self.blocks_add_xx_0 = blocks.add_vcc(1)
self.blocks_add_const_vxx_0_0_0 = blocks.add_const_ff(-1)
self.blocks_add_const_vxx_0_0 = blocks.add_const_ff(-1)
self.blocks_add_const_vxx_0 = blocks.add_const_ff(-1)
self.blocks_abs_xx_0_0_0 = blocks.abs_ff(1)
self.blocks_abs_xx_0_0 = blocks.abs_ff(1)
self.blocks_abs_xx_0 = blocks.abs_ff(1)
self.analog_wfm_rcv_0 = analog.wfm_rcv(
quad_rate=bandwidth,
audio_decimation=1,
)
self.NOAA19_fall = qtgui.sink_c(
1024, #fftsize
firdes.WIN_BLACKMAN_hARRIS, #wintype
freq_0 + NOAA19, #fc
Out_samprate, #bw
"NOAA19 (stream 0)", #name
True, #plotfreq
True, #plotwaterfall
False, #plottime
False #plotconst
)
self.NOAA19_fall.set_update_time(1.0 / 1)
self._NOAA19_fall_win = sip.wrapinstance(self.NOAA19_fall.pyqwidget(),
Qt.QWidget)
self.NOAA19_fall.enable_rf_freq(True)
self.top_grid_layout.addWidget(self._NOAA19_fall_win)
self.NOAA18_fall = qtgui.sink_c(
1024, #fftsize
firdes.WIN_BLACKMAN_hARRIS, #wintype
freq_0 + NOAA18, #fc
Out_samprate, #bw
"NOAA18 (stream 1)", #name
True, #plotfreq
True, #plotwaterfall
False, #plottime
False #plotconst
)
self.NOAA18_fall.set_update_time(1.0 / 1)
self._NOAA18_fall_win = sip.wrapinstance(self.NOAA18_fall.pyqwidget(),
Qt.QWidget)
self.NOAA18_fall.enable_rf_freq(True)
self.top_grid_layout.addWidget(self._NOAA18_fall_win)
self.NOAA15_fall = qtgui.sink_c(
1024, #fftsize
firdes.WIN_BLACKMAN_hARRIS, #wintype
freq_0 + NOAA15, #fc
Out_samprate, #bw
"NOAA15 (stream 2)", #name
True, #plotfreq
True, #plotwaterfall
False, #plottime
False #plotconst
)
self.NOAA15_fall.set_update_time(1.0 / 1)
self._NOAA15_fall_win = sip.wrapinstance(self.NOAA15_fall.pyqwidget(),
Qt.QWidget)
self.NOAA15_fall.enable_rf_freq(True)
self.top_grid_layout.addWidget(self._NOAA15_fall_win)
##################################################
# Connections
##################################################
self.connect((self.analog_wfm_rcv_0, 0),
(self.rational_resampler_xxx_0, 0))
self.connect((self.blocks_abs_xx_0, 0),
(self.blocks_float_to_complex_1, 0))
self.connect((self.blocks_abs_xx_0_0, 0),
(self.blocks_float_to_complex_1_0, 0))
self.connect((self.blocks_abs_xx_0_0_0, 0),
(self.blocks_float_to_complex_1_1, 0))
self.connect((self.blocks_add_const_vxx_0, 0),
(self.blocks_abs_xx_0, 0))
self.connect((self.blocks_add_const_vxx_0_0, 0),
(self.blocks_abs_xx_0_0, 0))
self.connect((self.blocks_add_const_vxx_0_0_0, 0),
(self.blocks_abs_xx_0_0_0, 0))
self.connect((self.blocks_add_xx_0, 0), (self.analog_wfm_rcv_0, 0))
self.connect((self.blocks_add_xx_0, 0), (self.qtgui_sink_x_0, 0))
self.connect((self.blocks_argmax_xx_0, 1),
(self.blocks_null_sink_0, 0))
self.connect((self.blocks_argmax_xx_0, 0),
(self.blocks_short_to_float_0, 0))
self.connect((self.blocks_argmax_xx_0, 0),
(self.qtgui_number_sink_0, 0))
self.connect((self.blocks_complex_to_mag_squared_0, 0),
(self.blocks_moving_average_1, 0))
self.connect((self.blocks_complex_to_mag_squared_0_0, 0),
(self.blocks_moving_average_2, 0))
self.connect((self.blocks_complex_to_mag_squared_0_1, 0),
(self.blocks_moving_average_2_0, 0))
self.connect((self.blocks_float_to_complex_1, 0),
(self.blocks_multiply_xx_0, 1))
self.connect((self.blocks_float_to_complex_1_0, 0),
(self.blocks_multiply_xx_1, 1))
self.connect((self.blocks_float_to_complex_1_1, 0),
(self.blocks_multiply_xx_2, 1))
self.connect((self.blocks_moving_average_1, 0),
(self.blocks_streams_to_vector_0, 0))
self.connect((self.blocks_moving_average_2, 0),
(self.blocks_streams_to_vector_0, 1))
self.connect((self.blocks_moving_average_2_0, 0),
(self.blocks_streams_to_vector_0, 2))
self.connect((self.blocks_multiply_xx_0, 0), (self.blocks_add_xx_0, 0))
self.connect((self.blocks_multiply_xx_1, 0), (self.blocks_add_xx_0, 1))
self.connect((self.blocks_multiply_xx_2, 0), (self.blocks_add_xx_0, 2))
self.connect((self.blocks_short_to_float_0, 0),
(self.blocks_threshold_ff_0, 0))
self.connect((self.blocks_short_to_float_0, 0),
(self.blocks_threshold_ff_0_0, 0))
self.connect((self.blocks_short_to_float_0, 0),
(self.blocks_threshold_ff_0_1, 0))
self.connect((self.blocks_streams_to_vector_0, 0),
(self.blocks_argmax_xx_0, 0))
self.connect((self.blocks_threshold_ff_0, 0),
(self.blocks_add_const_vxx_0, 0))
self.connect((self.blocks_threshold_ff_0_0, 0),
(self.blocks_add_const_vxx_0_0, 0))
self.connect((self.blocks_threshold_ff_0_1, 0),
(self.blocks_add_const_vxx_0_0_0, 0))
self.connect((self.blocks_udp_source_0, 0), (self.NOAA19_fall, 0))
self.connect((self.blocks_udp_source_0, 0),
(self.blocks_complex_to_mag_squared_0, 0))
self.connect((self.blocks_udp_source_0, 0),
(self.blocks_multiply_xx_0, 0))
self.connect((self.blocks_udp_source_0_1, 0), (self.NOAA18_fall, 0))
self.connect((self.blocks_udp_source_0_1, 0),
(self.blocks_complex_to_mag_squared_0_0, 0))
self.connect((self.blocks_udp_source_0_1, 0),
(self.blocks_multiply_xx_1, 0))
self.connect((self.blocks_udp_source_0_2, 0), (self.NOAA15_fall, 0))
self.connect((self.blocks_udp_source_0_2, 0),
(self.blocks_complex_to_mag_squared_0_1, 0))
self.connect((self.blocks_udp_source_0_2, 0),
(self.blocks_multiply_xx_2, 0))
self.connect((self.rational_resampler_xxx_0, 0),
(self.blocks_udp_sink_0, 0))
def __init__(self, freq=145.95e6, gain=38):
gr.top_block.__init__(self, "MOVE II")
##################################################
# Parameters
##################################################
self.freq = freq
self.gain = gain
##################################################
# Variables
##################################################
self.doppler_freq = doppler_freq = freq
self.samp_rate_rtlsdr = samp_rate_rtlsdr = 1536000
self.samp_rate = samp_rate = 128000
self.filename = filename = "iq_{0}_f{1}_g{2}".format(
time.strftime("%Y-%m-%d_%H-%M-%S"), int(freq), gain)
self.doppler_shift = doppler_shift = doppler_freq - freq
self.decim = decim = 8
##################################################
# Blocks
##################################################
self.satnogs_waterfall_sink_0 = satnogs.waterfall_sink(
samp_rate, 0.0, 5, 2048, filename + ".wf", 1)
self.rational_resampler_xxx_0 = filter.rational_resampler_ccc(
interpolation=1,
decimation=int(samp_rate_rtlsdr / samp_rate),
taps=None,
fractional_bw=None,
)
self.osmosdr_source_0 = osmosdr.source(args="numchan=" + str(1) + " " +
'')
self.osmosdr_source_0.set_sample_rate(samp_rate_rtlsdr)
self.osmosdr_source_0.set_center_freq(freq, 0)
self.osmosdr_source_0.set_freq_corr(0, 0)
self.osmosdr_source_0.set_dc_offset_mode(0, 0)
self.osmosdr_source_0.set_iq_balance_mode(0, 0)
self.osmosdr_source_0.set_gain_mode(False, 0)
self.osmosdr_source_0.set_gain(gain, 0)
self.osmosdr_source_0.set_if_gain(20, 0)
self.osmosdr_source_0.set_bb_gain(20, 0)
self.osmosdr_source_0.set_antenna('', 0)
self.osmosdr_source_0.set_bandwidth(0, 0)
self.gpredict_doppler_0 = gpredict.doppler(self.set_doppler_freq,
"0.0.0.0", 4532, True)
self.blocks_udp_sink_0 = blocks.udp_sink(gr.sizeof_gr_complex * 1,
'127.0.0.1', 12345, 1472,
False)
self.blocks_streams_to_vector_0 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 1, 2)
self.blocks_multiply_xx_0 = blocks.multiply_vcc(1)
self.blocks_file_sink_0_0 = blocks.file_sink(gr.sizeof_gr_complex * 2,
filename + ".raw_dpl",
False)
self.blocks_file_sink_0_0.set_unbuffered(False)
self.analog_sig_source_x_1 = analog.sig_source_c(
samp_rate, analog.GR_COS_WAVE, doppler_shift, 1, 0)
##################################################
# Connections
##################################################
self.connect((self.analog_sig_source_x_1, 0),
(self.blocks_multiply_xx_0, 1))
self.connect((self.analog_sig_source_x_1, 0),
(self.blocks_streams_to_vector_0, 1))
self.connect((self.blocks_multiply_xx_0, 0),
(self.blocks_udp_sink_0, 0))
self.connect((self.blocks_multiply_xx_0, 0),
(self.satnogs_waterfall_sink_0, 0))
self.connect((self.blocks_streams_to_vector_0, 0),
(self.blocks_file_sink_0_0, 0))
self.connect((self.osmosdr_source_0, 0),
(self.rational_resampler_xxx_0, 0))
self.connect((self.rational_resampler_xxx_0, 0),
(self.blocks_multiply_xx_0, 0))
self.connect((self.rational_resampler_xxx_0, 0),
(self.blocks_streams_to_vector_0, 0))
def __init__(self):
gr.top_block.__init__(self, "HF channel simulation")
##################################################
# Variables
##################################################
self.snr = snr = 40
self.vol = vol = [1, 1]
self.tau_a = tau_a = 1 / 100.
self.tau = tau = 0.1
self.snrVecOut = snrVecOut = ([0] * 3)
self.samp_rate = samp_rate = 48000
self.outSigRMSVec = outSigRMSVec = ([0] * 2)
self.noSpread = noSpread = 0
self.kN = kN = pow(10.0, (-snr / 20.0))
self.freqShift = freqShift = 0.0
self.fd = fd = 1
self.en_noise = en_noise = [0, 0]
self.doppler_ir = doppler_ir = [
0.0016502763167573274, 0.0018854799389366934, 0.002149957633383614,
0.0024466994528029662, 0.002778907461425479, 0.003149998028185868,
0.003563602180973301, 0.00402356375450247, 0.004533935060796761,
0.0050989698117900155, 0.005723113028669535, 0.006410987682800636,
0.007167377828853199, 0.007997208012493867, 0.008905518763040982,
0.00989743801603955, 0.010978148351927763, 0.012152849984840378,
0.013426719489994542, 0.014804864318746317, 0.016292273216847054,
0.01789376273305468, 0.019613920081278834, 0.021457042698902442,
0.023427074925696508, 0.025527542310538734, 0.027761484135525694,
0.030131384827462734, 0.03263910500345486, 0.035285812968654906,
0.03807191754835305, 0.04099700319171279, 0.04405976832879332,
0.04725796799434838, 0.050588361749672524, 0.05404666793605477,
0.057627525278984175, 0.06132446283016882, 0.06512987918400244,
0.0690350318359975, 0.073030037462906, 0.07710388379815894,
0.08124445365265866, 0.08543856149104095, 0.08967200281887802,
0.0939296164688993, 0.09819535969651079, 0.10245239580938088,
0.10668319386560887, 0.1108696397832219, 0.11499315801386097,
0.11903484274903825, 0.12297559745183839, 0.12679628134392928,
0.1304778613306593, 0.13400156771907581, 0.1373490519778611,
0.14050254470705797, 0.14344501193124823, 0.14616030780428022,
0.14863332181791858, 0.15085011864154488, 0.1527980687853246,
0.154465968374505, 0.15584414644656272, 0.15692455833401583,
0.15770086387153975, 0.1581684893637365, 0.15832467246620405,
0.1581684893637365, 0.15770086387153975, 0.15692455833401583,
0.15584414644656272, 0.154465968374505, 0.1527980687853246,
0.15085011864154488, 0.14863332181791858, 0.14616030780428022,
0.14344501193124823, 0.14050254470705797, 0.1373490519778611,
0.13400156771907581, 0.1304778613306593, 0.12679628134392928,
0.12297559745183839, 0.11903484274903825, 0.11499315801386097,
0.1108696397832219, 0.10668319386560887, 0.10245239580938088,
0.09819535969651079, 0.0939296164688993, 0.08967200281887802,
0.08543856149104095, 0.08124445365265866, 0.07710388379815894,
0.073030037462906, 0.0690350318359975, 0.06512987918400244,
0.06132446283016882, 0.057627525278984175, 0.05404666793605477,
0.050588361749672524, 0.04725796799434838, 0.04405976832879332,
0.04099700319171279, 0.03807191754835305, 0.035285812968654906,
0.03263910500345486, 0.030131384827462734, 0.027761484135525694,
0.025527542310538734, 0.023427074925696508, 0.021457042698902442,
0.019613920081278834, 0.01789376273305468, 0.016292273216847054,
0.014804864318746317, 0.013426719489994542, 0.012152849984840378,
0.010978148351927763, 0.00989743801603955, 0.008905518763040982,
0.007997208012493867, 0.007167377828853199, 0.006410987682800636,
0.005723113028669535, 0.0050989698117900155, 0.004533935060796761,
0.00402356375450247, 0.003563602180973301, 0.003149998028185868,
0.002778907461425479, 0.0024466994528029662, 0.002149957633383614,
0.0018854799389366934, 0.0016502763167573274
]
self.ampl = ampl = [[1.0, 1.0], [1.0, 1.0]]
##################################################
# Blocks
##################################################
self.snrOut = blocks.probe_signal_vf(4)
self.outSigRMS = blocks.probe_signal_vf(2)
def _snrVecOut_probe():
while True:
val = self.snrOut.level()
try:
self.set_snrVecOut(val)
except AttributeError:
pass
time.sleep(1.0 / (10))
_snrVecOut_thread = threading.Thread(target=_snrVecOut_probe)
_snrVecOut_thread.daemon = True
_snrVecOut_thread.start()
self.single_pole_iir_filter_xx_0_1 = filter.single_pole_iir_filter_ff(
2 * pi * tau_a / samp_rate, 1)
self.single_pole_iir_filter_xx_0_0_0 = filter.single_pole_iir_filter_ff(
2 * pi * tau_a / samp_rate, 1)
self.single_pole_iir_filter_xx_0_0 = filter.single_pole_iir_filter_ff(
2 * pi * tau_a / samp_rate, 1)
self.single_pole_iir_filter_xx_0 = filter.single_pole_iir_filter_ff(
2 * pi * tau_a / samp_rate, 1)
def _outSigRMSVec_probe():
while True:
val = self.outSigRMS.level()
try:
self.set_outSigRMSVec(val)
except AttributeError:
pass
time.sleep(1.0 / (10))
_outSigRMSVec_thread = threading.Thread(target=_outSigRMSVec_probe)
_outSigRMSVec_thread.daemon = True
_outSigRMSVec_thread.start()
self.low_pass_filter_2_0 = filter.fir_filter_ccf(
1,
firdes.low_pass(1, samp_rate, 1550, 100, firdes.WIN_HAMMING, 6.76))
self.low_pass_filter_2 = filter.fir_filter_ccf(
1,
firdes.low_pass(1, samp_rate, 1550, 100, firdes.WIN_HAMMING, 6.76))
self.low_pass_filter_1_1 = filter.interp_fir_filter_ccf(
int(samp_rate / 100),
firdes.low_pass(ampl[1][0] * (samp_rate / 100.0), samp_rate, 50,
25, firdes.WIN_HAMMING, 6.76))
self.low_pass_filter_1_0_0 = filter.interp_fir_filter_ccf(
int(samp_rate / 100),
firdes.low_pass(ampl[1][1] * (samp_rate / 100.0), samp_rate, 50,
25, firdes.WIN_HAMMING, 6.76))
self.low_pass_filter_1_0 = filter.interp_fir_filter_ccf(
int(samp_rate / 100),
firdes.low_pass(ampl[0][1] * (samp_rate / 100.0), samp_rate, 50,
25, firdes.WIN_HAMMING, 6.76))
self.low_pass_filter_1 = filter.interp_fir_filter_ccf(
int(samp_rate / 100),
firdes.low_pass(ampl[0][0] * (samp_rate / 100.0), samp_rate, 50,
25, firdes.WIN_HAMMING, 6.76))
self.low_pass_filter_0_0 = filter.fir_filter_ccf(
1,
firdes.low_pass(1, samp_rate, 1750 + 100, 600, firdes.WIN_HAMMING,
6.76))
self.low_pass_filter_0 = filter.fir_filter_ccf(
1,
firdes.low_pass(1, samp_rate, 1750 + 100, 600, firdes.WIN_HAMMING,
6.76))
self.epy_block_0_0_0_0 = epy_block_0_0_0_0.blk(fd=fd)
self.epy_block_0_0_0 = epy_block_0_0_0.blk(fd=fd)
self.epy_block_0_0 = epy_block_0_0.blk(fd=fd)
self.epy_block_0 = epy_block_0.blk(fd=fd)
self.blocks_streams_to_vector_0_0 = blocks.streams_to_vector(
gr.sizeof_float * 1, 2)
self.blocks_streams_to_vector_0 = blocks.streams_to_vector(
gr.sizeof_float * 1, 4)
self.blocks_selector_0_1 = blocks.selector(gr.sizeof_gr_complex * 1,
noSpread, 0)
self.blocks_selector_0_1.set_enabled(True)
self.blocks_selector_0_0_0 = blocks.selector(gr.sizeof_gr_complex * 1,
noSpread, 0)
self.blocks_selector_0_0_0.set_enabled(True)
self.blocks_selector_0_0 = blocks.selector(gr.sizeof_gr_complex * 1,
noSpread, 0)
self.blocks_selector_0_0.set_enabled(True)
self.blocks_selector_0 = blocks.selector(gr.sizeof_gr_complex * 1,
noSpread, 0)
self.blocks_selector_0.set_enabled(True)
self.blocks_rms_xx_0_1 = blocks.rms_cf(2 * pi * tau_a * 100 /
samp_rate)
self.blocks_rms_xx_0_0_0 = blocks.rms_ff(2 * pi * tau_a * 10 /
samp_rate)
self.blocks_rms_xx_0_0 = blocks.rms_ff(2 * pi * tau_a * 10 / samp_rate)
self.blocks_rms_xx_0 = blocks.rms_cf(2 * pi * tau_a * 100 / samp_rate)
self.blocks_null_source_0 = blocks.null_source(gr.sizeof_float * 1)
self.blocks_null_sink_0 = blocks.null_sink(gr.sizeof_float * 1)
self.blocks_nlog10_ff_0_0 = blocks.nlog10_ff(10, 1, 0)
self.blocks_nlog10_ff_0 = blocks.nlog10_ff(10, 1, 0)
self.blocks_multiply_xx_1_0 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_1 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_0_1 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_0_0_1 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_0_0_0_1 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_0_0_0_0_1 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_0_0_0_0_0_0 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_0_0_0_0_0 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_0_0_0_0 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_0_0_0 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_0_0 = blocks.multiply_vcc(1)
self.blocks_multiply_xx_0 = blocks.multiply_vcc(1)
self.blocks_multiply_const_vxx_3_0 = blocks.multiply_const_ff(
en_noise[1])
self.blocks_multiply_const_vxx_3 = blocks.multiply_const_ff(
en_noise[0])
self.blocks_multiply_const_vxx_2_0 = blocks.multiply_const_cc(vol[1])
self.blocks_multiply_const_vxx_2 = blocks.multiply_const_cc(vol[0])
self.blocks_multiply_const_vxx_1_0 = blocks.multiply_const_ff(
2 * sqrt(ampl[1][0]**2 + ampl[1][1]**2) * 2)
self.blocks_multiply_const_vxx_1 = blocks.multiply_const_ff(
2 * sqrt(ampl[0][0]**2 + ampl[0][1]**2) * 2)
self.blocks_multiply_const_vxx_0_0 = blocks.multiply_const_ff(0.5)
self.blocks_multiply_const_vxx_0 = blocks.multiply_const_ff(0.5)
self.blocks_float_to_complex_1_0 = blocks.float_to_complex(1)
self.blocks_float_to_complex_1 = blocks.float_to_complex(1)
self.blocks_float_to_complex_0_0 = blocks.float_to_complex(1)
self.blocks_float_to_complex_0 = blocks.float_to_complex(1)
self.blocks_divide_xx_1_0 = blocks.divide_ff(1)
self.blocks_divide_xx_1 = blocks.divide_ff(1)
self.blocks_delay_0_0 = blocks.delay(gr.sizeof_gr_complex * 1,
int(tau * samp_rate))
self.blocks_delay_0 = blocks.delay(gr.sizeof_gr_complex * 1,
int(tau * samp_rate))
self.blocks_complex_to_real_0_0 = blocks.complex_to_real(1)
self.blocks_complex_to_real_0 = blocks.complex_to_real(1)
self.blocks_complex_to_mag_squared_2_1 = blocks.complex_to_mag_squared(
1)
self.blocks_complex_to_mag_squared_2_0_0 = blocks.complex_to_mag_squared(
1)
self.blocks_complex_to_mag_squared_2_0 = blocks.complex_to_mag_squared(
1)
self.blocks_complex_to_mag_squared_2 = blocks.complex_to_mag_squared(1)
self.blocks_add_xx_1_0 = blocks.add_vff(1)
self.blocks_add_xx_1 = blocks.add_vff(1)
self.blocks_add_xx_0_1 = blocks.add_vcc(1)
self.blocks_add_xx_0_0_0 = blocks.add_vcc(1)
self.blocks_add_xx_0_0 = blocks.add_vcc(1)
self.blocks_add_xx_0 = blocks.add_vcc(1)
self.audio_source_0 = audio.source(samp_rate, 'hw:CARD=Rubix44,DEV=0',
False)
self.audio_sink_0 = audio.sink(samp_rate, 'hw:CARD=Rubix44,DEV=0',
False)
self.analog_sig_source_x_3 = analog.sig_source_f(
samp_rate, analog.GR_COS_WAVE, 1000, 0.3, 0, 0)
self.analog_sig_source_x_2_0 = analog.sig_source_c(
samp_rate, analog.GR_COS_WAVE, 1850, 1, 0, 0)
self.analog_sig_source_x_2 = analog.sig_source_c(
samp_rate, analog.GR_COS_WAVE, 1850, 1, 0, 0)
self.analog_sig_source_x_1_0 = analog.sig_source_c(
samp_rate, analog.GR_COS_WAVE, freqShift, 1, 0, 0)
self.analog_sig_source_x_1 = analog.sig_source_c(
samp_rate, analog.GR_COS_WAVE, freqShift, 1, 0, 0)
self.analog_sig_source_x_0_0_1 = analog.sig_source_c(
samp_rate, analog.GR_COS_WAVE, -1850, 1, 0, 0)
self.analog_sig_source_x_0_0_0_0 = analog.sig_source_c(
samp_rate, analog.GR_COS_WAVE, 1850, 1, 0, 0)
self.analog_sig_source_x_0_0_0 = analog.sig_source_c(
samp_rate, analog.GR_COS_WAVE, 1850, 1, 0, 0)
self.analog_sig_source_x_0_0 = analog.sig_source_c(
samp_rate, analog.GR_COS_WAVE, -1850, 1, 0, 0)
self.analog_noise_source_x_1_0 = analog.noise_source_c(
analog.GR_GAUSSIAN, 1e-0 * kN, 13)
self.analog_noise_source_x_1 = analog.noise_source_c(
analog.GR_GAUSSIAN, 1e-0 * kN, 3)
self.analog_noise_source_x_0_1 = analog.noise_source_c(
analog.GR_GAUSSIAN, 1, 10)
self.analog_noise_source_x_0_0_0 = analog.noise_source_c(
analog.GR_GAUSSIAN, 1, 11)
self.analog_noise_source_x_0_0 = analog.noise_source_c(
analog.GR_GAUSSIAN, 1, 1)
self.analog_noise_source_x_0 = analog.noise_source_c(
analog.GR_GAUSSIAN, 1, 0)
self.analog_const_source_x_2_0 = analog.sig_source_f(
0, analog.GR_CONST_WAVE, 0, 0, 0)
self.analog_const_source_x_2 = analog.sig_source_f(
0, analog.GR_CONST_WAVE, 0, 0, 0)
self.analog_const_source_x_1_1 = analog.sig_source_c(
0, analog.GR_CONST_WAVE, 0, 0, ampl[1][0])
self.analog_const_source_x_1_0_0 = analog.sig_source_c(
0, analog.GR_CONST_WAVE, 0, 0, ampl[1][1])
self.analog_const_source_x_1_0 = analog.sig_source_c(
0, analog.GR_CONST_WAVE, 0, 0, ampl[0][1])
self.analog_const_source_x_1 = analog.sig_source_c(
0, analog.GR_CONST_WAVE, 0, 0, ampl[0][0])
self.analog_const_source_x_0_0 = analog.sig_source_f(
0, analog.GR_CONST_WAVE, 0, 0, 0)
self.analog_const_source_x_0 = analog.sig_source_f(
0, analog.GR_CONST_WAVE, 0, 0, 0)
##################################################
# Connections
##################################################
self.connect((self.analog_const_source_x_0, 0),
(self.blocks_float_to_complex_0, 1))
self.connect((self.analog_const_source_x_0_0, 0),
(self.blocks_float_to_complex_0_0, 1))
self.connect((self.analog_const_source_x_1, 0),
(self.blocks_selector_0, 1))
self.connect((self.analog_const_source_x_1_0, 0),
(self.blocks_selector_0_0, 1))
self.connect((self.analog_const_source_x_1_0_0, 0),
(self.blocks_selector_0_0_0, 1))
self.connect((self.analog_const_source_x_1_1, 0),
(self.blocks_selector_0_1, 1))
self.connect((self.analog_const_source_x_2, 0),
(self.blocks_float_to_complex_1, 1))
self.connect((self.analog_const_source_x_2_0, 0),
(self.blocks_float_to_complex_1_0, 1))
self.connect((self.analog_noise_source_x_0, 0), (self.epy_block_0, 0))
self.connect((self.analog_noise_source_x_0_0, 0),
(self.epy_block_0_0, 0))
self.connect((self.analog_noise_source_x_0_0_0, 0),
(self.epy_block_0_0_0_0, 0))
self.connect((self.analog_noise_source_x_0_1, 0),
(self.epy_block_0_0_0, 0))
self.connect((self.analog_noise_source_x_1, 0),
(self.low_pass_filter_2, 0))
self.connect((self.analog_noise_source_x_1_0, 0),
(self.low_pass_filter_2_0, 0))
self.connect((self.analog_sig_source_x_0_0, 0),
(self.blocks_multiply_xx_0, 1))
self.connect((self.analog_sig_source_x_0_0_0, 0),
(self.blocks_multiply_xx_0_0, 1))
self.connect((self.analog_sig_source_x_0_0_0_0, 0),
(self.blocks_multiply_xx_0_0_1, 1))
self.connect((self.analog_sig_source_x_0_0_1, 0),
(self.blocks_multiply_xx_0_1, 1))
self.connect((self.analog_sig_source_x_1, 0),
(self.blocks_multiply_xx_1, 0))
self.connect((self.analog_sig_source_x_1_0, 0),
(self.blocks_multiply_xx_1_0, 0))
self.connect((self.analog_sig_source_x_2, 0),
(self.blocks_multiply_xx_0_0_0_0_0, 1))
self.connect((self.analog_sig_source_x_2_0, 0),
(self.blocks_multiply_xx_0_0_0_0_0_0, 1))
self.connect((self.analog_sig_source_x_3, 0),
(self.blocks_multiply_const_vxx_3, 0))
self.connect((self.analog_sig_source_x_3, 0),
(self.blocks_multiply_const_vxx_3_0, 0))
self.connect((self.audio_source_0, 0),
(self.blocks_float_to_complex_0, 0))
self.connect((self.audio_source_0, 1),
(self.blocks_float_to_complex_0_0, 0))
self.connect((self.audio_source_0, 2), (self.blocks_null_sink_0, 0))
self.connect((self.audio_source_0, 3), (self.blocks_null_sink_0, 1))
self.connect((self.blocks_add_xx_0, 0), (self.blocks_multiply_xx_1, 1))
self.connect((self.blocks_add_xx_0_0, 0),
(self.blocks_multiply_const_vxx_2, 0))
self.connect((self.blocks_add_xx_0_0_0, 0),
(self.blocks_multiply_const_vxx_2_0, 0))
self.connect((self.blocks_add_xx_0_1, 0),
(self.blocks_multiply_xx_1_0, 1))
self.connect((self.blocks_add_xx_1, 0),
(self.blocks_multiply_const_vxx_0, 0))
self.connect((self.blocks_add_xx_1_0, 0),
(self.blocks_multiply_const_vxx_0_0, 0))
self.connect((self.blocks_complex_to_mag_squared_2, 0),
(self.single_pole_iir_filter_xx_0, 0))
self.connect((self.blocks_complex_to_mag_squared_2_0, 0),
(self.single_pole_iir_filter_xx_0_0, 0))
self.connect((self.blocks_complex_to_mag_squared_2_0_0, 0),
(self.single_pole_iir_filter_xx_0_0_0, 0))
self.connect((self.blocks_complex_to_mag_squared_2_1, 0),
(self.single_pole_iir_filter_xx_0_1, 0))
self.connect((self.blocks_complex_to_real_0, 0),
(self.blocks_add_xx_1, 0))
self.connect((self.blocks_complex_to_real_0_0, 0),
(self.blocks_add_xx_1_0, 1))
self.connect((self.blocks_delay_0, 0),
(self.blocks_multiply_xx_0_0_0_0, 0))
self.connect((self.blocks_delay_0_0, 0),
(self.blocks_multiply_xx_0_0_0_0_1, 0))
self.connect((self.blocks_divide_xx_1, 0),
(self.blocks_nlog10_ff_0, 0))
self.connect((self.blocks_divide_xx_1_0, 0),
(self.blocks_nlog10_ff_0_0, 0))
self.connect((self.blocks_float_to_complex_0, 0),
(self.blocks_multiply_xx_0, 0))
self.connect((self.blocks_float_to_complex_0_0, 0),
(self.blocks_multiply_xx_0_1, 0))
self.connect((self.blocks_float_to_complex_1, 0),
(self.blocks_multiply_xx_0_0_0_0_0, 2))
self.connect((self.blocks_float_to_complex_1_0, 0),
(self.blocks_multiply_xx_0_0_0_0_0_0, 2))
self.connect((self.blocks_multiply_const_vxx_0, 0),
(self.audio_sink_0, 1))
self.connect((self.blocks_multiply_const_vxx_0, 0),
(self.blocks_rms_xx_0_0, 0))
self.connect((self.blocks_multiply_const_vxx_0_0, 0),
(self.audio_sink_0, 0))
self.connect((self.blocks_multiply_const_vxx_0_0, 0),
(self.blocks_rms_xx_0_0_0, 0))
self.connect((self.blocks_multiply_const_vxx_1, 0),
(self.blocks_float_to_complex_1, 0))
self.connect((self.blocks_multiply_const_vxx_1_0, 0),
(self.blocks_float_to_complex_1_0, 0))
self.connect((self.blocks_multiply_const_vxx_2, 0),
(self.blocks_complex_to_real_0, 0))
self.connect((self.blocks_multiply_const_vxx_2_0, 0),
(self.blocks_complex_to_real_0_0, 0))
self.connect((self.blocks_multiply_const_vxx_3, 0),
(self.blocks_add_xx_1, 1))
self.connect((self.blocks_multiply_const_vxx_3_0, 0),
(self.blocks_add_xx_1_0, 0))
self.connect((self.blocks_multiply_xx_0, 0),
(self.low_pass_filter_0, 0))
self.connect((self.blocks_multiply_xx_0_0, 0),
(self.blocks_delay_0, 0))
self.connect((self.blocks_multiply_xx_0_0, 0),
(self.blocks_multiply_xx_0_0_0, 0))
self.connect((self.blocks_multiply_xx_0_0, 0),
(self.blocks_rms_xx_0, 0))
self.connect((self.blocks_multiply_xx_0_0_0, 0),
(self.blocks_add_xx_0, 0))
self.connect((self.blocks_multiply_xx_0_0_0_0, 0),
(self.blocks_add_xx_0, 1))
self.connect((self.blocks_multiply_xx_0_0_0_0_0, 0),
(self.blocks_add_xx_0_0, 1))
self.connect((self.blocks_multiply_xx_0_0_0_0_0, 0),
(self.blocks_complex_to_mag_squared_2_0, 0))
self.connect((self.blocks_multiply_xx_0_0_0_0_0_0, 0),
(self.blocks_add_xx_0_0_0, 1))
self.connect((self.blocks_multiply_xx_0_0_0_0_0_0, 0),
(self.blocks_complex_to_mag_squared_2_0_0, 0))
self.connect((self.blocks_multiply_xx_0_0_0_0_1, 0),
(self.blocks_add_xx_0_1, 1))
self.connect((self.blocks_multiply_xx_0_0_0_1, 0),
(self.blocks_add_xx_0_1, 0))
self.connect((self.blocks_multiply_xx_0_0_1, 0),
(self.blocks_delay_0_0, 0))
self.connect((self.blocks_multiply_xx_0_0_1, 0),
(self.blocks_multiply_xx_0_0_0_1, 0))
self.connect((self.blocks_multiply_xx_0_0_1, 0),
(self.blocks_rms_xx_0_1, 0))
self.connect((self.blocks_multiply_xx_0_1, 0),
(self.low_pass_filter_0_0, 0))
self.connect((self.blocks_multiply_xx_1, 0),
(self.blocks_add_xx_0_0, 0))
self.connect((self.blocks_multiply_xx_1, 0),
(self.blocks_complex_to_mag_squared_2, 0))
self.connect((self.blocks_multiply_xx_1_0, 0),
(self.blocks_add_xx_0_0_0, 0))
self.connect((self.blocks_multiply_xx_1_0, 0),
(self.blocks_complex_to_mag_squared_2_1, 0))
self.connect((self.blocks_nlog10_ff_0, 0),
(self.blocks_streams_to_vector_0, 2))
self.connect((self.blocks_nlog10_ff_0_0, 0),
(self.blocks_streams_to_vector_0, 3))
self.connect((self.blocks_null_source_0, 0), (self.audio_sink_0, 2))
self.connect((self.blocks_null_source_0, 1), (self.audio_sink_0, 3))
self.connect((self.blocks_rms_xx_0, 0),
(self.blocks_multiply_const_vxx_1, 0))
self.connect((self.blocks_rms_xx_0_0, 0),
(self.blocks_streams_to_vector_0_0, 0))
self.connect((self.blocks_rms_xx_0_0_0, 0),
(self.blocks_streams_to_vector_0_0, 1))
self.connect((self.blocks_rms_xx_0_1, 0),
(self.blocks_multiply_const_vxx_1_0, 0))
self.connect((self.blocks_selector_0, 0),
(self.blocks_multiply_xx_0_0_0, 1))
self.connect((self.blocks_selector_0_0, 0),
(self.blocks_multiply_xx_0_0_0_0, 1))
self.connect((self.blocks_selector_0_0_0, 0),
(self.blocks_multiply_xx_0_0_0_0_1, 1))
self.connect((self.blocks_selector_0_1, 0),
(self.blocks_multiply_xx_0_0_0_1, 1))
self.connect((self.blocks_streams_to_vector_0, 0), (self.snrOut, 0))
self.connect((self.blocks_streams_to_vector_0_0, 0),
(self.outSigRMS, 0))
self.connect((self.epy_block_0, 0), (self.low_pass_filter_1, 0))
self.connect((self.epy_block_0_0, 0), (self.low_pass_filter_1_0, 0))
self.connect((self.epy_block_0_0_0, 0), (self.low_pass_filter_1_1, 0))
self.connect((self.epy_block_0_0_0_0, 0),
(self.low_pass_filter_1_0_0, 0))
self.connect((self.low_pass_filter_0, 0),
(self.blocks_multiply_xx_0_0, 0))
self.connect((self.low_pass_filter_0_0, 0),
(self.blocks_multiply_xx_0_0_1, 0))
self.connect((self.low_pass_filter_1, 0), (self.blocks_selector_0, 0))
self.connect((self.low_pass_filter_1_0, 0),
(self.blocks_selector_0_0, 0))
self.connect((self.low_pass_filter_1_0_0, 0),
(self.blocks_selector_0_0_0, 0))
self.connect((self.low_pass_filter_1_1, 0),
(self.blocks_selector_0_1, 0))
self.connect((self.low_pass_filter_2, 0),
(self.blocks_multiply_xx_0_0_0_0_0, 0))
self.connect((self.low_pass_filter_2_0, 0),
(self.blocks_multiply_xx_0_0_0_0_0_0, 0))
self.connect((self.single_pole_iir_filter_xx_0, 0),
(self.blocks_divide_xx_1, 0))
self.connect((self.single_pole_iir_filter_xx_0, 0),
(self.blocks_streams_to_vector_0, 0))
self.connect((self.single_pole_iir_filter_xx_0_0, 0),
(self.blocks_divide_xx_1, 1))
self.connect((self.single_pole_iir_filter_xx_0_0, 0),
(self.blocks_streams_to_vector_0, 1))
self.connect((self.single_pole_iir_filter_xx_0_0_0, 0),
(self.blocks_divide_xx_1_0, 1))
self.connect((self.single_pole_iir_filter_xx_0_1, 0),
(self.blocks_divide_xx_1_0, 0))
def __init__(self, x_var, y_var, filesink):
gr.top_block.__init__(self, "SDVLC Testbed Simulation")
##################################################
# Parameters
##################################################
self.CtCr = (1.402589, 1.400153, 1.389144, 1.386729, 1.367899,
1.353108, 1.338055, 1.320068, 1.297516, 1.276457,
1.261740, 1.247866, 1.233018, 1.200908, 1.184429,
1.169045, 1.155984, 1.142038, 1.127352, 1.111633,
1.096738, 1.081336, 1.067067, 1.053066, 1.038244,
1.023078, 1.007937, 0.99301, 0.977535, 0.961326, 0.940293,
0.908008, 0.856049)
CtCr = self.CtCr
self.filesink = filesink
##################################################
# Variables
##################################################
self.dZ = dZ = 2.05
x_var = float(x_var)
y_var = float(y_var)
self.y_var = y_var
self.x_var = x_var
self.TX_coords = TX_coords = ((3.62, 1.28, dZ), (3.62, .84, dZ),
(3.62, .32, dZ), (2.87, 1.28, dZ),
(2.87, .84, dZ), (2.87, .32, dZ),
(2.20, 1.28, dZ), (2.2, .84,
dZ), (2.2, .32, dZ),
(1.48, 1.28, dZ), (1.48, .84,
dZ), (1.48, .32, dZ),
(.825, 1.32, dZ), (.825, .84,
dZ), (.825, .32, dZ))
self.distances = distances = (
numpy.sqrt((x_var - TX_coords[0][0])**2 +
(y_var - TX_coords[0][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[1][0])**2 +
(y_var - TX_coords[1][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[2][0])**2 +
(y_var - TX_coords[2][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[3][0])**2 +
(y_var - TX_coords[3][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[4][0])**2 +
(y_var - TX_coords[4][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[5][0])**2 +
(y_var - TX_coords[5][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[6][0])**2 +
(y_var - TX_coords[6][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[7][0])**2 +
(y_var - TX_coords[7][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[8][0])**2 +
(y_var - TX_coords[8][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[9][0])**2 +
(y_var - TX_coords[9][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[10][0])**2 +
(y_var - TX_coords[10][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[11][0])**2 +
(y_var - TX_coords[11][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[12][0])**2 +
(y_var - TX_coords[12][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[13][0])**2 +
(y_var - TX_coords[13][1])**2 + (dZ**2)),
numpy.sqrt((x_var - TX_coords[14][0])**2 +
(y_var - TX_coords[14][1])**2 + (dZ**2)))
self.samp_rate = samp_rate = int(2e6)
self.lam_order = lam_order = .88
self.goertzel_size = goertzel_size = 2048
self.angles = angles = (
numpy.arccos(dZ / distances[0]) * (180 / math.pi),
numpy.arccos(dZ / distances[1]) * (180 / math.pi),
numpy.arccos(dZ / distances[2]) * (180 / math.pi),
numpy.arccos(dZ / distances[3]) * (180 / math.pi),
numpy.arccos(dZ / distances[4]) * (180 / math.pi),
numpy.arccos(dZ / distances[4]) * (180 / math.pi),
numpy.arccos(dZ / distances[5]) * (180 / math.pi),
numpy.arccos(dZ / distances[6]) * (180 / math.pi),
numpy.arccos(dZ / distances[7]) * (180 / math.pi),
numpy.arccos(dZ / distances[8]) * (180 / math.pi),
numpy.arccos(dZ / distances[9]) * (180 / math.pi),
numpy.arccos(dZ / distances[10]) * (180 / math.pi),
numpy.arccos(dZ / distances[11]) * (180 / math.pi),
numpy.arccos(dZ / distances[12]) * (180 / math.pi),
numpy.arccos(dZ / distances[14]) * (180 / math.pi),
numpy.arccos(dZ / distances[14]) * (180 / math.pi))
self.TX_freqs = TX_freqs = (1e5, 1.5e5, 2e5, 2.5e5, 3e5, 3.5e5, 4e5,
4.5e5, 5e5, 5.5e5, 6e5, 6.5e5, 7e5, 7.5e5,
8e5)
self.TX_ampl = TX_ampl = .7
##################################################
# Blocks
##################################################
self.vlp_testbed_sources_0 = vlp_testbed_sources(
CtCr=CtCr,
TX_coords=TX_coords,
TX_freqs=TX_freqs,
angles=angles,
dZ=dZ,
distances=distances,
lam_order=lam_order,
noise_ampl=0,
samp_rate=samp_rate,
tx_ampl=TX_ampl,
x_var=x_var,
y_var=y_var,
)
self.vlp2_amp2d_ff_0 = vlp2.amp2d_ff(TX_ampl, dZ, 1, (CtCr), 1, 1, 1.1,
1, 90, 15)
self.multi_goertzel_0 = multi_goertzel(
freqs=TX_freqs,
goertzel_size=goertzel_size,
mult=2,
samp_rate=samp_rate,
)
self.blocks_streams_to_vector_0 = blocks.streams_to_vector(
gr.sizeof_float * 1, 15)
self.blocks_file_sink_0 = blocks.file_sink(gr.sizeof_float * 15,
self.filesink, False)
self.blocks_file_sink_0.set_unbuffered(False)
##################################################
# Connections
##################################################
self.connect((self.blocks_streams_to_vector_0, 0),
(self.blocks_file_sink_0, 0))
self.connect((self.multi_goertzel_0, 0), (self.vlp2_amp2d_ff_0, 0))
self.connect((self.multi_goertzel_0, 1), (self.vlp2_amp2d_ff_0, 1))
self.connect((self.multi_goertzel_0, 10), (self.vlp2_amp2d_ff_0, 10))
self.connect((self.multi_goertzel_0, 11), (self.vlp2_amp2d_ff_0, 11))
self.connect((self.multi_goertzel_0, 12), (self.vlp2_amp2d_ff_0, 12))
self.connect((self.multi_goertzel_0, 13), (self.vlp2_amp2d_ff_0, 13))
self.connect((self.multi_goertzel_0, 14), (self.vlp2_amp2d_ff_0, 14))
self.connect((self.multi_goertzel_0, 2), (self.vlp2_amp2d_ff_0, 2))
self.connect((self.multi_goertzel_0, 3), (self.vlp2_amp2d_ff_0, 3))
self.connect((self.multi_goertzel_0, 4), (self.vlp2_amp2d_ff_0, 4))
self.connect((self.multi_goertzel_0, 5), (self.vlp2_amp2d_ff_0, 5))
self.connect((self.multi_goertzel_0, 6), (self.vlp2_amp2d_ff_0, 6))
self.connect((self.multi_goertzel_0, 7), (self.vlp2_amp2d_ff_0, 7))
self.connect((self.multi_goertzel_0, 8), (self.vlp2_amp2d_ff_0, 8))
self.connect((self.multi_goertzel_0, 9), (self.vlp2_amp2d_ff_0, 9))
self.connect((self.vlp2_amp2d_ff_0, 0),
(self.blocks_streams_to_vector_0, 0))
self.connect((self.vlp2_amp2d_ff_0, 1),
(self.blocks_streams_to_vector_0, 1))
self.connect((self.vlp2_amp2d_ff_0, 10),
(self.blocks_streams_to_vector_0, 10))
self.connect((self.vlp2_amp2d_ff_0, 11),
(self.blocks_streams_to_vector_0, 11))
self.connect((self.vlp2_amp2d_ff_0, 12),
(self.blocks_streams_to_vector_0, 12))
self.connect((self.vlp2_amp2d_ff_0, 13),
(self.blocks_streams_to_vector_0, 13))
self.connect((self.vlp2_amp2d_ff_0, 14),
(self.blocks_streams_to_vector_0, 14))
self.connect((self.vlp2_amp2d_ff_0, 2),
(self.blocks_streams_to_vector_0, 2))
self.connect((self.vlp2_amp2d_ff_0, 3),
(self.blocks_streams_to_vector_0, 3))
self.connect((self.vlp2_amp2d_ff_0, 4),
(self.blocks_streams_to_vector_0, 4))
self.connect((self.vlp2_amp2d_ff_0, 5),
(self.blocks_streams_to_vector_0, 5))
self.connect((self.vlp2_amp2d_ff_0, 6),
(self.blocks_streams_to_vector_0, 6))
self.connect((self.vlp2_amp2d_ff_0, 7),
(self.blocks_streams_to_vector_0, 7))
self.connect((self.vlp2_amp2d_ff_0, 8),
(self.blocks_streams_to_vector_0, 8))
self.connect((self.vlp2_amp2d_ff_0, 9),
(self.blocks_streams_to_vector_0, 9))
self.connect((self.vlp_testbed_sources_0, 0),
(self.multi_goertzel_0, 0))
def __init__(self):
gr.top_block.__init__(self, "MIMO TOP FLOW")
##################################################
# Variables
##################################################
self.fftl = fftl = 128
self.samp_rate = samp_rate = fftl*15e3
self.rxant = rxant = 2
self.resampler = resampler = 400
self.frame_key = frame_key = "slot"
self.N_rb_dl = N_rb_dl = 50
##################################################
# Blocks
##################################################
self.lte_mimo_sss_sync_0 = lte_mimo_sss_sync(
N_rb_dl=N_rb_dl,
rxant=rxant,
)
self.lte_mimo_pss_sync_0 = lte_mimo_pss_sync(
rxant=rxant,
synclen=5,
fftlen=fftl,
)
self.lte_mimo_pss_based_frey_sync_0 = lte_mimo_pss_based_frey_sync(
fftlen=fftl,
rxant=rxant,
)
self.lte_mimo_ofdm_rx_0 = lte_mimo_ofdm_rx(
N_rb_dl=N_rb_dl,
ofdm_key=frame_key,
fftlen=fftl,
rxant=rxant,
)
self.lte_mimo_estimator_0 = lte_mimo_estimator(
N_rb_dl=N_rb_dl,
estimator_key=frame_key,
initial_id=2,
rxant=rxant,
)
self.lte_mimo_decode_pbch_0 = lte_mimo_decode_pbch(
N_rb_dl=N_rb_dl,
rxant=rxant,
)
self.blocks_vector_to_streams_0 = blocks.vector_to_streams(gr.sizeof_gr_complex*1, 2)
self.blocks_throttle_0 = blocks.throttle(gr.sizeof_gr_complex*2, samp_rate,True)
self.blocks_streams_to_vector_0_0 = blocks.streams_to_vector(gr.sizeof_gr_complex*12 * N_rb_dl, 2)
self.blocks_file_source_0 = blocks.file_source(gr.sizeof_gr_complex*2, "/home/johannes/src/gr-lte/tests/lte_test_data_RX2_NRBDL6.dat", True)
self.bch_decode_bch_hier_gr37_0 = decode_bch_hier_gr37()
self.MIB = lte.mib_unpack_vbm("MIB")
##################################################
# Connections
##################################################
self.connect((self.lte_mimo_pss_sync_0, 1), (self.lte_mimo_pss_based_frey_sync_0, 1))
self.connect((self.lte_mimo_pss_sync_0, 0), (self.lte_mimo_pss_based_frey_sync_0, 0))
self.connect((self.lte_mimo_pss_based_frey_sync_0, 0), (self.lte_mimo_ofdm_rx_0, 0))
self.connect((self.lte_mimo_pss_based_frey_sync_0, 1), (self.lte_mimo_ofdm_rx_0, 1))
self.connect((self.blocks_throttle_0, 0), (self.blocks_vector_to_streams_0, 0))
self.connect((self.blocks_vector_to_streams_0, 0), (self.lte_mimo_pss_sync_0, 0))
self.connect((self.blocks_vector_to_streams_0, 1), (self.lte_mimo_pss_sync_0, 1))
self.connect((self.lte_mimo_ofdm_rx_0, 0), (self.lte_mimo_sss_sync_0, 0))
self.connect((self.lte_mimo_ofdm_rx_0, 1), (self.lte_mimo_sss_sync_0, 1))
self.connect((self.lte_mimo_decode_pbch_0, 0), (self.bch_decode_bch_hier_gr37_0, 0))
self.connect((self.lte_mimo_estimator_0, 0), (self.lte_mimo_decode_pbch_0, 1))
self.connect((self.lte_mimo_estimator_0, 1), (self.lte_mimo_decode_pbch_0, 2))
self.connect((self.bch_decode_bch_hier_gr37_0, 1), (self.MIB, 1))
self.connect((self.bch_decode_bch_hier_gr37_0, 0), (self.MIB, 0))
self.connect((self.lte_mimo_sss_sync_0, 1), (self.blocks_streams_to_vector_0_0, 1))
self.connect((self.lte_mimo_sss_sync_0, 0), (self.blocks_streams_to_vector_0_0, 0))
self.connect((self.blocks_streams_to_vector_0_0, 0), (self.lte_mimo_estimator_0, 0))
self.connect((self.blocks_streams_to_vector_0_0, 0), (self.lte_mimo_decode_pbch_0, 0))
self.connect((self.blocks_file_source_0, 0), (self.blocks_throttle_0, 0))
##################################################
# Asynch Message Connections
##################################################
self.msg_connect(self.lte_mimo_sss_sync_0, "cell_id", self.lte_mimo_estimator_0, "cell_id")
self.msg_connect(self.lte_mimo_pss_sync_0, "N_id_2", self.lte_mimo_sss_sync_0, "N_id_2")
self.msg_connect(self.lte_mimo_sss_sync_0, "cell_id", self.lte_mimo_decode_pbch_0, "cell_id")
def __init__(self):
gr.top_block.__init__(self, "Top Block")
Qt.QWidget.__init__(self)
self.setWindowTitle("Top Block")
try:
self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc'))
except:
pass
self.top_scroll_layout = Qt.QVBoxLayout()
self.setLayout(self.top_scroll_layout)
self.top_scroll = Qt.QScrollArea()
self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame)
self.top_scroll_layout.addWidget(self.top_scroll)
self.top_scroll.setWidgetResizable(True)
self.top_widget = Qt.QWidget()
self.top_scroll.setWidget(self.top_widget)
self.top_layout = Qt.QVBoxLayout(self.top_widget)
self.top_grid_layout = Qt.QGridLayout()
self.top_layout.addLayout(self.top_grid_layout)
self.settings = Qt.QSettings("GNU Radio", "top_block")
self.restoreGeometry(self.settings.value("geometry").toByteArray())
##################################################
# Variables
##################################################
self.Nt = Nt = 2
self.dft_coef = dft_coef = np.exp(-2 * np.pi * 1j / Nt)
self.A = A = np.arange(Nt)[np.newaxis]
self.tlen = tlen = 4000
self.samp_rate = samp_rate = 100000
self.dft_matrix = dft_matrix = np.power(dft_coef,
np.dot(A.transpose(), A))
self.scramble_2 = scramble_2 = 2 * np.random.random_integers(
0, 1, size=(tlen, Nt)) - 1
self.scramble_1 = scramble_1 = 2 * np.random.random_integers(
0, 1, size=(tlen, Nt)) - 1
self.prefix = prefix = '/home/zhe/gr-PWF/examples'
self.noise = noise = [np.identity(Nt), np.identity(Nt)]
self.max_iteration = max_iteration = 20
self.interpo = interpo = samp_rate / 1000
self.dft_pilot_seq = dft_pilot_seq = np.tile(dft_matrix,
(tlen / Nt, 1))
self.Q = Q = 4
self.L = L = 2
self.sigmagenfile = sigmagenfile = prefix + '/sigmagens/sigmagen_10.bin'
self.pulse = pulse = filter.firdes.root_raised_cosine(
Q, Q, 1, 0.35, 11 * Q)
self.prewhiten1 = prewhiten1 = np.linalg.pinv(noise[1])
self.prewhiten0 = prewhiten0 = np.linalg.pinv(noise[0])
self.pilot_seq_2 = pilot_seq_2 = np.multiply(dft_pilot_seq, scramble_2)
self.pilot_seq_1 = pilot_seq_1 = np.multiply(dft_pilot_seq, scramble_1)
self.pilot2file = pilot2file = prefix + '/pilots/pilot2_4000.bin'
self.pilot1file = pilot1file = prefix + '/pilots/pilot1_4000.bin'
self.payload_size = payload_size = 0
self.npoints = npoints = max_iteration * interpo
self.noise_hat = noise_hat = [np.identity(Nt), np.identity(Nt)]
self.ichn_gain_dB = ichn_gain_dB = 10
self.channelfile = channelfile = prefix + '/channels/2x2channel_10dB_3.bin'
self.channel = channel = np.true_divide(
np.random.standard_normal(size=(L, L, Nt, Nt)) +
np.random.standard_normal(size=(L, L, Nt, Nt)) * 1j, np.sqrt(2))
self.Pt = Pt = 100
##################################################
# Blocks
##################################################
self.qtgui_time_sink_x_0 = qtgui.time_sink_f(
npoints, #size
samp_rate, #samp_rate
"Strong Interference (ichn_gain = 10dB)", #name
2 #number of inputs
)
self.qtgui_time_sink_x_0.set_update_time(0.1)
self.qtgui_time_sink_x_0.set_y_axis(0, 20)
self.qtgui_time_sink_x_0.set_y_label("Weighted Sum-Rate (bits/s/Hz)",
"")
self.qtgui_time_sink_x_0.enable_tags(-1, True)
self.qtgui_time_sink_x_0.set_trigger_mode(qtgui.TRIG_MODE_AUTO,
qtgui.TRIG_SLOPE_POS, 0.0, 0,
0, "")
self.qtgui_time_sink_x_0.enable_autoscale(True)
self.qtgui_time_sink_x_0.enable_grid(True)
self.qtgui_time_sink_x_0.enable_control_panel(False)
if not True:
self.qtgui_time_sink_x_0.disable_legend()
labels = [
"Dual Link", "Identity Sigma", "", "", "", "", "", "", "", ""
]
widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
colors = [
"blue", "red", "green", "black", "cyan", "magenta", "yellow",
"dark red", "dark green", "blue"
]
styles = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
markers = [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
for i in xrange(2):
if len(labels[i]) == 0:
self.qtgui_time_sink_x_0.set_line_label(
i, "Data {0}".format(i))
else:
self.qtgui_time_sink_x_0.set_line_label(i, labels[i])
self.qtgui_time_sink_x_0.set_line_width(i, widths[i])
self.qtgui_time_sink_x_0.set_line_color(i, colors[i])
self.qtgui_time_sink_x_0.set_line_style(i, styles[i])
self.qtgui_time_sink_x_0.set_line_marker(i, markers[i])
self.qtgui_time_sink_x_0.set_line_alpha(i, alphas[i])
self._qtgui_time_sink_x_0_win = sip.wrapinstance(
self.qtgui_time_sink_x_0.pyqwidget(), Qt.QWidget)
self.top_layout.addWidget(self._qtgui_time_sink_x_0_win)
self.phase_corrector_0_2 = phase_corrector(
loop_bandwidth=2 * np.pi * 0.005,
max_freq=2 * np.pi * 0.01,
training_sequence=pilot_seq_1[:, 0],
)
self.phase_corrector_0_1_0 = phase_corrector(
loop_bandwidth=2 * np.pi * 0.005,
max_freq=2 * np.pi * 0.01,
training_sequence=pilot_seq_2[:, 0],
)
self.phase_corrector_0_1 = phase_corrector(
loop_bandwidth=2 * np.pi * 0.005,
max_freq=2 * np.pi * 0.01,
training_sequence=pilot_seq_2[:, 0],
)
self.phase_corrector_0_0_1 = phase_corrector(
loop_bandwidth=2 * np.pi * 0.005,
max_freq=2 * np.pi * 0.01,
training_sequence=pilot_seq_1[:, 1],
)
self.phase_corrector_0_0_0_0 = phase_corrector(
loop_bandwidth=2 * np.pi * 0.005,
max_freq=2 * np.pi * 0.01,
training_sequence=pilot_seq_2[:, 1],
)
self.phase_corrector_0_0_0 = phase_corrector(
loop_bandwidth=2 * np.pi * 0.005,
max_freq=2 * np.pi * 0.01,
training_sequence=pilot_seq_2[:, 1],
)
self.phase_corrector_0_0 = phase_corrector(
loop_bandwidth=2 * np.pi * 0.005,
max_freq=2 * np.pi * 0.01,
training_sequence=pilot_seq_1[:, 1],
)
self.phase_corrector_0 = phase_corrector(
loop_bandwidth=2 * np.pi * 0.005,
max_freq=2 * np.pi * 0.01,
training_sequence=pilot_seq_1[:, 0],
)
self.interp_fir_filter_xxx_0_1_0 = filter.interp_fir_filter_ccc(
Q, (pulse))
self.interp_fir_filter_xxx_0_1_0.declare_sample_delay(0)
self.interp_fir_filter_xxx_0_1 = filter.interp_fir_filter_ccc(
Q, (pulse))
self.interp_fir_filter_xxx_0_1.declare_sample_delay(0)
self.interp_fir_filter_xxx_0_0 = filter.interp_fir_filter_ccc(
Q, (pulse))
self.interp_fir_filter_xxx_0_0.declare_sample_delay(0)
self.interp_fir_filter_xxx_0 = filter.interp_fir_filter_ccc(Q, (pulse))
self.interp_fir_filter_xxx_0.declare_sample_delay(0)
self.fir_filter_xxx_0_1 = filter.fir_filter_ccc(Q, (pulse))
self.fir_filter_xxx_0_1.declare_sample_delay(0)
self.fir_filter_xxx_0_0_0 = filter.fir_filter_ccc(Q, (pulse))
self.fir_filter_xxx_0_0_0.declare_sample_delay(0)
self.fir_filter_xxx_0_0 = filter.fir_filter_ccc(Q, (pulse))
self.fir_filter_xxx_0_0.declare_sample_delay(0)
self.fir_filter_xxx_0 = filter.fir_filter_ccc(Q, (pulse))
self.fir_filter_xxx_0.declare_sample_delay(0)
self.blocks_vector_to_streams_1_2 = blocks.vector_to_streams(
gr.sizeof_gr_complex * 1, 2)
self.blocks_vector_to_streams_1_1_1 = blocks.vector_to_streams(
gr.sizeof_gr_complex * 1, 2)
self.blocks_vector_to_streams_1_1_0_0 = blocks.vector_to_streams(
gr.sizeof_gr_complex * 1, 2)
self.blocks_vector_to_streams_1_1_0 = blocks.vector_to_streams(
gr.sizeof_gr_complex * 1, 2)
self.blocks_vector_to_streams_1_1 = blocks.vector_to_streams(
gr.sizeof_gr_complex * 1, 2)
self.blocks_vector_to_streams_1_0_0 = blocks.vector_to_streams(
gr.sizeof_gr_complex * 1, 2)
self.blocks_vector_to_streams_1_0 = blocks.vector_to_streams(
gr.sizeof_gr_complex * 1, 2)
self.blocks_vector_to_streams_1 = blocks.vector_to_streams(
gr.sizeof_gr_complex * 1, 2)
self.blocks_vector_to_streams_0 = blocks.vector_to_streams(
gr.sizeof_gr_complex * 4, 2)
self.blocks_udp_source_1 = blocks.udp_source(gr.sizeof_gr_complex * 8,
"127.0.0.1", 1234, 1472,
True)
self.blocks_udp_sink_1_0 = blocks.udp_sink(gr.sizeof_gr_complex * 8,
"127.0.0.1", 1234, 1472,
True)
self.blocks_udp_sink_1 = blocks.udp_sink(gr.sizeof_gr_complex * 8,
"127.0.0.1", 1234, 1472, True)
self.blocks_streams_to_vector_1_2 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 1, 2)
self.blocks_streams_to_vector_1_1_1 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 1, 2)
self.blocks_streams_to_vector_1_1_0_0 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 1, 2)
self.blocks_streams_to_vector_1_1_0 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 1, 2)
self.blocks_streams_to_vector_1_1 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 1, 2)
self.blocks_streams_to_vector_1_0_0 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 1, 2)
self.blocks_streams_to_vector_1_0 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 1, 2)
self.blocks_streams_to_vector_1 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 1, 2)
self.blocks_streams_to_vector_0_0 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 4, 2)
self.blocks_streams_to_vector_0 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 4, 2)
self.blocks_repeat_0_0 = blocks.repeat(gr.sizeof_float * 1, interpo)
self.blocks_repeat_0 = blocks.repeat(gr.sizeof_float * 1, interpo)
self.blocks_file_sink_0 = blocks.file_sink(
gr.sizeof_gr_complex * 8,
"/home/zhe/Dropbox/gnuradio_trunk/gnufiles/udp", False)
self.blocks_file_sink_0.set_unbuffered(True)
self.PWF_weighted_sum_rate_0 = PWF.weighted_sum_rate(
L, Nt, Pt, channel, ichn_gain_dB, [1, 1], [prewhiten0, prewhiten1],
False, channelfile)
self.PWF_sigmagen_0 = PWF.sigmagen(L, Nt, Pt, True, sigmagenfile)
self.PWF_power_adjust_1_0 = PWF.power_adjust(Nt, Pt, L)
self.PWF_power_adjust_1 = PWF.power_adjust(Nt, Pt, L)
self.PWF_pilot_receive_tx_0_0 = PWF.pilot_receive_tx(
True, pilot1file, pilot_seq_1, Nt, tlen, noise_hat[0], tlen, 1)
self.PWF_pilot_receive_tx_0 = PWF.pilot_receive_tx(
True, pilot2file, pilot_seq_2, Nt, tlen, noise_hat[1], tlen, 1)
self.PWF_pilot_receive_rx_0_0 = PWF.pilot_receive_rx(
True, pilot2file, pilot_seq_2, prewhiten1, Nt, tlen,
tlen + payload_size, 1)
self.PWF_pilot_receive_rx_0 = PWF.pilot_receive_rx(
True, pilot1file, pilot_seq_1, prewhiten0, Nt, tlen,
tlen + payload_size, 1)
self.PWF_pilot_gen_tx_0_0 = PWF.pilot_gen_tx(Nt, tlen, pilot_seq_2,
True, pilot2file)
self.PWF_pilot_gen_tx_0 = PWF.pilot_gen_tx(Nt, tlen, pilot_seq_1, True,
pilot1file)
self.PWF_pilot_gen_rx_0_0 = PWF.pilot_gen_rx(Nt, tlen, prewhiten0,
pilot_seq_1, True,
pilot1file)
self.PWF_pilot_gen_rx_0 = PWF.pilot_gen_rx(Nt, tlen, prewhiten1,
pilot_seq_2, True,
pilot2file)
self.PWF_debug_printmsg_0 = PWF.debug_printmsg(L, Nt, False, 20)
self.PWF_channel_1 = PWF.channel(L, Nt, ichn_gain_dB, channel, False,
noise_hat, False, channelfile)
self.PWF_channel_0 = PWF.channel(L, Nt, ichn_gain_dB, channel, True,
noise, True, channelfile)
##################################################
# Connections
##################################################
self.connect((self.PWF_channel_0, 0),
(self.blocks_vector_to_streams_1_1, 0))
self.connect((self.PWF_channel_0, 1),
(self.blocks_vector_to_streams_1_1_0, 0))
self.connect((self.PWF_channel_1, 1),
(self.blocks_vector_to_streams_1_1_0_0, 0))
self.connect((self.PWF_channel_1, 0),
(self.blocks_vector_to_streams_1_1_1, 0))
self.connect((self.PWF_debug_printmsg_0, 0),
(self.PWF_pilot_gen_tx_0, 0))
self.connect((self.PWF_debug_printmsg_0, 1),
(self.PWF_pilot_gen_tx_0_0, 0))
self.connect((self.PWF_pilot_gen_rx_0, 0),
(self.blocks_vector_to_streams_1_0_0, 0))
self.connect((self.PWF_pilot_gen_rx_0_0, 0),
(self.blocks_vector_to_streams_1_2, 0))
self.connect((self.PWF_pilot_gen_tx_0, 0),
(self.blocks_vector_to_streams_1, 0))
self.connect((self.PWF_pilot_gen_tx_0_0, 0),
(self.blocks_vector_to_streams_1_0, 0))
self.connect((self.PWF_pilot_receive_rx_0, 0),
(self.PWF_power_adjust_1, 0))
self.connect((self.PWF_pilot_receive_rx_0_0, 0),
(self.PWF_power_adjust_1, 1))
self.connect((self.PWF_pilot_receive_tx_0, 0),
(self.PWF_power_adjust_1_0, 1))
self.connect((self.PWF_pilot_receive_tx_0_0, 0),
(self.PWF_power_adjust_1_0, 0))
self.connect((self.PWF_power_adjust_1, 1),
(self.PWF_pilot_gen_rx_0, 0))
self.connect((self.PWF_power_adjust_1, 0),
(self.PWF_pilot_gen_rx_0_0, 0))
self.connect((self.PWF_power_adjust_1_0, 0),
(self.blocks_streams_to_vector_0_0, 0))
self.connect((self.PWF_power_adjust_1_0, 1),
(self.blocks_streams_to_vector_0_0, 1))
self.connect((self.PWF_sigmagen_0, 0),
(self.blocks_streams_to_vector_0, 0))
self.connect((self.PWF_sigmagen_0, 1),
(self.blocks_streams_to_vector_0, 1))
self.connect((self.PWF_weighted_sum_rate_0, 0),
(self.blocks_repeat_0, 0))
self.connect((self.PWF_weighted_sum_rate_0, 1),
(self.blocks_repeat_0_0, 0))
self.connect((self.blocks_repeat_0, 0), (self.qtgui_time_sink_x_0, 0))
self.connect((self.blocks_repeat_0_0, 0),
(self.qtgui_time_sink_x_0, 1))
self.connect((self.blocks_streams_to_vector_0, 0),
(self.blocks_udp_sink_1, 0))
self.connect((self.blocks_streams_to_vector_0_0, 0),
(self.blocks_udp_sink_1_0, 0))
self.connect((self.blocks_streams_to_vector_1, 0),
(self.PWF_channel_0, 0))
self.connect((self.blocks_streams_to_vector_1_0, 0),
(self.PWF_channel_0, 1))
self.connect((self.blocks_streams_to_vector_1_0_0, 0),
(self.PWF_channel_1, 1))
self.connect((self.blocks_streams_to_vector_1_1, 0),
(self.PWF_pilot_receive_rx_0, 0))
self.connect((self.blocks_streams_to_vector_1_1_0, 0),
(self.PWF_pilot_receive_rx_0_0, 0))
self.connect((self.blocks_streams_to_vector_1_1_0_0, 0),
(self.PWF_pilot_receive_tx_0, 0))
self.connect((self.blocks_streams_to_vector_1_1_1, 0),
(self.PWF_pilot_receive_tx_0_0, 0))
self.connect((self.blocks_streams_to_vector_1_2, 0),
(self.PWF_channel_1, 0))
self.connect((self.blocks_udp_source_1, 0),
(self.blocks_file_sink_0, 0))
self.connect((self.blocks_udp_source_1, 0),
(self.blocks_vector_to_streams_0, 0))
self.connect((self.blocks_vector_to_streams_0, 0),
(self.PWF_debug_printmsg_0, 0))
self.connect((self.blocks_vector_to_streams_0, 1),
(self.PWF_debug_printmsg_0, 1))
self.connect((self.blocks_vector_to_streams_0, 0),
(self.PWF_weighted_sum_rate_0, 0))
self.connect((self.blocks_vector_to_streams_0, 1),
(self.PWF_weighted_sum_rate_0, 1))
self.connect((self.blocks_vector_to_streams_1, 0),
(self.interp_fir_filter_xxx_0, 0))
self.connect((self.blocks_vector_to_streams_1, 1),
(self.interp_fir_filter_xxx_0_1, 0))
self.connect((self.blocks_vector_to_streams_1_0, 0),
(self.interp_fir_filter_xxx_0_0, 0))
self.connect((self.blocks_vector_to_streams_1_0, 1),
(self.interp_fir_filter_xxx_0_1_0, 0))
self.connect((self.blocks_vector_to_streams_1_0_0, 0),
(self.blocks_streams_to_vector_1_0_0, 0))
self.connect((self.blocks_vector_to_streams_1_0_0, 1),
(self.blocks_streams_to_vector_1_0_0, 1))
self.connect((self.blocks_vector_to_streams_1_1, 0),
(self.fir_filter_xxx_0, 0))
self.connect((self.blocks_vector_to_streams_1_1, 1),
(self.fir_filter_xxx_0_0, 0))
self.connect((self.blocks_vector_to_streams_1_1_0, 1),
(self.fir_filter_xxx_0_0_0, 0))
self.connect((self.blocks_vector_to_streams_1_1_0, 0),
(self.fir_filter_xxx_0_1, 0))
self.connect((self.blocks_vector_to_streams_1_1_0_0, 1),
(self.phase_corrector_0_0_0_0, 0))
self.connect((self.blocks_vector_to_streams_1_1_0_0, 0),
(self.phase_corrector_0_1_0, 0))
self.connect((self.blocks_vector_to_streams_1_1_1, 1),
(self.phase_corrector_0_0_1, 0))
self.connect((self.blocks_vector_to_streams_1_1_1, 0),
(self.phase_corrector_0_2, 0))
self.connect((self.blocks_vector_to_streams_1_2, 1),
(self.blocks_streams_to_vector_1_2, 1))
self.connect((self.blocks_vector_to_streams_1_2, 0),
(self.blocks_streams_to_vector_1_2, 0))
self.connect((self.fir_filter_xxx_0, 0), (self.phase_corrector_0, 0))
self.connect((self.fir_filter_xxx_0_0, 0),
(self.phase_corrector_0_0, 0))
self.connect((self.fir_filter_xxx_0_0_0, 0),
(self.phase_corrector_0_0_0, 0))
self.connect((self.fir_filter_xxx_0_1, 0),
(self.phase_corrector_0_1, 0))
self.connect((self.interp_fir_filter_xxx_0, 0),
(self.blocks_streams_to_vector_1, 0))
self.connect((self.interp_fir_filter_xxx_0_0, 0),
(self.blocks_streams_to_vector_1_0, 0))
self.connect((self.interp_fir_filter_xxx_0_1, 0),
(self.blocks_streams_to_vector_1, 1))
self.connect((self.interp_fir_filter_xxx_0_1_0, 0),
(self.blocks_streams_to_vector_1_0, 1))
self.connect((self.phase_corrector_0, 0),
(self.blocks_streams_to_vector_1_1, 0))
self.connect((self.phase_corrector_0_0, 0),
(self.blocks_streams_to_vector_1_1, 1))
self.connect((self.phase_corrector_0_0_0, 0),
(self.blocks_streams_to_vector_1_1_0, 1))
self.connect((self.phase_corrector_0_0_0_0, 0),
(self.blocks_streams_to_vector_1_1_0_0, 1))
self.connect((self.phase_corrector_0_0_1, 0),
(self.blocks_streams_to_vector_1_1_1, 1))
self.connect((self.phase_corrector_0_1, 0),
(self.blocks_streams_to_vector_1_1_0, 0))
self.connect((self.phase_corrector_0_1_0, 0),
(self.blocks_streams_to_vector_1_1_0_0, 0))
self.connect((self.phase_corrector_0_2, 0),
(self.blocks_streams_to_vector_1_1_1, 0))
def __init__(self):
gr.top_block.__init__(self, "USRP to Vector ")
Qt.QWidget.__init__(self)
self.setWindowTitle("USRP to Vector ")
try:
self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc'))
except:
pass
self.top_scroll_layout = Qt.QVBoxLayout()
self.setLayout(self.top_scroll_layout)
self.top_scroll = Qt.QScrollArea()
self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame)
self.top_scroll_layout.addWidget(self.top_scroll)
self.top_scroll.setWidgetResizable(True)
self.top_widget = Qt.QWidget()
self.top_scroll.setWidget(self.top_widget)
self.top_layout = Qt.QVBoxLayout(self.top_widget)
self.top_grid_layout = Qt.QGridLayout()
self.top_layout.addLayout(self.top_grid_layout)
self.settings = Qt.QSettings("GNU Radio", "vector_sink")
self.restoreGeometry(self.settings.value("geometry").toByteArray())
##################################################
# Variables
##################################################
self.variable_0 = variable_0 = 0
self.samp_rate = samp_rate = int(2e6)
self.goertzel_length = goertzel_length = 4096
self.const = const = 2
self.TX_freqs = TX_freqs = (1e5, 1.5e5, 2e5, 2.5e5, 3e5, 3.5e5, 4e5,
4.5e5, 5e5, 5.5e5, 6e5, 6.5e5, 7e5, 7.5e5,
8e5)
##################################################
# Blocks
##################################################
self.my_tabs = Qt.QTabWidget()
self.my_tabs_widget_0 = Qt.QWidget()
self.my_tabs_layout_0 = Qt.QBoxLayout(Qt.QBoxLayout.TopToBottom,
self.my_tabs_widget_0)
self.my_tabs_grid_layout_0 = Qt.QGridLayout()
self.my_tabs_layout_0.addLayout(self.my_tabs_grid_layout_0)
self.my_tabs.addTab(self.my_tabs_widget_0, "Tx 1-10")
self.my_tabs_widget_1 = Qt.QWidget()
self.my_tabs_layout_1 = Qt.QBoxLayout(Qt.QBoxLayout.TopToBottom,
self.my_tabs_widget_1)
self.my_tabs_grid_layout_1 = Qt.QGridLayout()
self.my_tabs_layout_1.addLayout(self.my_tabs_grid_layout_1)
self.my_tabs.addTab(self.my_tabs_widget_1, "Tx 11-15")
self.my_tabs_widget_2 = Qt.QWidget()
self.my_tabs_layout_2 = Qt.QBoxLayout(Qt.QBoxLayout.TopToBottom,
self.my_tabs_widget_2)
self.my_tabs_grid_layout_2 = Qt.QGridLayout()
self.my_tabs_layout_2.addLayout(self.my_tabs_grid_layout_2)
self.my_tabs.addTab(self.my_tabs_widget_2, "Freq Sink")
self.top_layout.addWidget(self.my_tabs)
self.uhd_usrp_source_0_0 = uhd.usrp_source(
",".join(("", "")),
uhd.stream_args(
cpu_format="fc32",
channels=range(1),
),
)
self.uhd_usrp_source_0_0.set_samp_rate(samp_rate)
self.uhd_usrp_source_0_0.set_center_freq(0, 0)
self.uhd_usrp_source_0_0.set_gain(0, 0)
self.qtgui_time_sink_x_0 = qtgui.time_sink_c(
1024, #size
samp_rate, #samp_rate
"", #name
1 #number of inputs
)
self.qtgui_time_sink_x_0.set_update_time(0.10)
self.qtgui_time_sink_x_0.set_y_axis(-1, 1)
self.qtgui_time_sink_x_0.set_y_label("Amplitude", "")
self.qtgui_time_sink_x_0.enable_tags(-1, True)
self.qtgui_time_sink_x_0.set_trigger_mode(qtgui.TRIG_MODE_FREE,
qtgui.TRIG_SLOPE_POS, 0.0, 0,
0, "")
self.qtgui_time_sink_x_0.enable_autoscale(False)
self.qtgui_time_sink_x_0.enable_grid(False)
self.qtgui_time_sink_x_0.enable_control_panel(False)
if not True:
self.qtgui_time_sink_x_0.disable_legend()
labels = ["", "", "", "", "", "", "", "", "", ""]
widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
colors = [
"blue", "red", "green", "black", "cyan", "magenta", "yellow",
"dark red", "dark green", "blue"
]
styles = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
markers = [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
for i in xrange(2 * 1):
if len(labels[i]) == 0:
if (i % 2 == 0):
self.qtgui_time_sink_x_0.set_line_label(
i, "Re{{Data {0}}}".format(i / 2))
else:
self.qtgui_time_sink_x_0.set_line_label(
i, "Im{{Data {0}}}".format(i / 2))
else:
self.qtgui_time_sink_x_0.set_line_label(i, labels[i])
self.qtgui_time_sink_x_0.set_line_width(i, widths[i])
self.qtgui_time_sink_x_0.set_line_color(i, colors[i])
self.qtgui_time_sink_x_0.set_line_style(i, styles[i])
self.qtgui_time_sink_x_0.set_line_marker(i, markers[i])
self.qtgui_time_sink_x_0.set_line_alpha(i, alphas[i])
self._qtgui_time_sink_x_0_win = sip.wrapinstance(
self.qtgui_time_sink_x_0.pyqwidget(), Qt.QWidget)
self.my_tabs_layout_2.addWidget(self._qtgui_time_sink_x_0_win)
self.qtgui_number_sink_1 = qtgui.number_sink(gr.sizeof_float, 0,
qtgui.NUM_GRAPH_HORIZ, 5)
self.qtgui_number_sink_1.set_update_time(0.10)
self.qtgui_number_sink_1.set_title("")
labels = [
"Signal 11", "Signal 12", "Signal 13", "Signal 14",
"Signal 15", "", "", "", "", ""
]
units = ["", "", "", "", "", "", "", "", "", ""]
colors = [("black", "black"), ("black", "black"), ("black", "black"),
("black", "black"), ("black", "black"), ("black", "black"),
("black", "black"), ("black", "black"), ("black", "black"),
("black", "black")]
factor = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
for i in xrange(5):
self.qtgui_number_sink_1.set_min(i, -1)
self.qtgui_number_sink_1.set_max(i, 1)
self.qtgui_number_sink_1.set_color(i, colors[i][0], colors[i][1])
if len(labels[i]) == 0:
self.qtgui_number_sink_1.set_label(i, "Data {0}".format(i))
else:
self.qtgui_number_sink_1.set_label(i, labels[i])
self.qtgui_number_sink_1.set_unit(i, units[i])
self.qtgui_number_sink_1.set_factor(i, factor[i])
self.qtgui_number_sink_1.enable_autoscale(False)
self._qtgui_number_sink_1_win = sip.wrapinstance(
self.qtgui_number_sink_1.pyqwidget(), Qt.QWidget)
self.my_tabs_layout_1.addWidget(self._qtgui_number_sink_1_win)
self.qtgui_number_sink_0 = qtgui.number_sink(gr.sizeof_float, 0,
qtgui.NUM_GRAPH_HORIZ, 10)
self.qtgui_number_sink_0.set_update_time(0.10)
self.qtgui_number_sink_0.set_title("")
labels = [
"Signal 1", "Signal 2", "Signal 3", "Signal 4", "Signal 5",
" Signal 6", "Signal 7", "Signal 8", "Signal 9", "Signal 10"
]
units = ["", "", "", "", "", "", "", "", "", ""]
colors = [("black", "black"), ("black", "black"), ("black", "black"),
("black", "black"), ("black", "black"), ("black", "black"),
("black", "black"), ("black", "black"), ("black", "black"),
("black", "black")]
factor = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
for i in xrange(10):
self.qtgui_number_sink_0.set_min(i, -1)
self.qtgui_number_sink_0.set_max(i, 1)
self.qtgui_number_sink_0.set_color(i, colors[i][0], colors[i][1])
if len(labels[i]) == 0:
self.qtgui_number_sink_0.set_label(i, "Data {0}".format(i))
else:
self.qtgui_number_sink_0.set_label(i, labels[i])
self.qtgui_number_sink_0.set_unit(i, units[i])
self.qtgui_number_sink_0.set_factor(i, factor[i])
self.qtgui_number_sink_0.enable_autoscale(False)
self._qtgui_number_sink_0_win = sip.wrapinstance(
self.qtgui_number_sink_0.pyqwidget(), Qt.QWidget)
self.my_tabs_layout_0.addWidget(self._qtgui_number_sink_0_win)
self.qtgui_freq_sink_x_0 = qtgui.freq_sink_c(
1024, #size
firdes.WIN_BLACKMAN_hARRIS, #wintype
0, #fc
samp_rate, #bw
"", #name
1 #number of inputs
)
self.qtgui_freq_sink_x_0.set_update_time(0.10)
self.qtgui_freq_sink_x_0.set_y_axis(-140, 10)
self.qtgui_freq_sink_x_0.set_trigger_mode(qtgui.TRIG_MODE_FREE, 0.0, 0,
"")
self.qtgui_freq_sink_x_0.enable_autoscale(False)
self.qtgui_freq_sink_x_0.enable_grid(False)
self.qtgui_freq_sink_x_0.set_fft_average(1.0)
self.qtgui_freq_sink_x_0.enable_control_panel(False)
if not True:
self.qtgui_freq_sink_x_0.disable_legend()
if "complex" == "float" or "complex" == "msg_float":
self.qtgui_freq_sink_x_0.set_plot_pos_half(not True)
labels = ["", "", "", "", "", "", "", "", "", ""]
widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
colors = [
"blue", "red", "green", "black", "cyan", "magenta", "yellow",
"dark red", "dark green", "dark blue"
]
alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
for i in xrange(1):
if len(labels[i]) == 0:
self.qtgui_freq_sink_x_0.set_line_label(
i, "Data {0}".format(i))
else:
self.qtgui_freq_sink_x_0.set_line_label(i, labels[i])
self.qtgui_freq_sink_x_0.set_line_width(i, widths[i])
self.qtgui_freq_sink_x_0.set_line_color(i, colors[i])
self.qtgui_freq_sink_x_0.set_line_alpha(i, alphas[i])
self._qtgui_freq_sink_x_0_win = sip.wrapinstance(
self.qtgui_freq_sink_x_0.pyqwidget(), Qt.QWidget)
self.my_tabs_layout_2.addWidget(self._qtgui_freq_sink_x_0_win)
self.multi_goertzel_0 = multi_goertzel(
freqs=TX_freqs,
goertzel_size=goertzel_length,
mult=const,
samp_rate=samp_rate,
)
self.blocks_streams_to_vector_0 = blocks.streams_to_vector(
gr.sizeof_float * 1, 15)
self.blocks_file_sink_0 = blocks.file_sink(gr.sizeof_float * 15,
sys.argv[1], False)
self.blocks_file_sink_0.set_unbuffered(False)
##################################################
# Connections
##################################################
self.connect((self.blocks_streams_to_vector_0, 0),
(self.blocks_file_sink_0, 0))
self.connect((self.multi_goertzel_0, 0),
(self.blocks_streams_to_vector_0, 0))
self.connect((self.multi_goertzel_0, 1),
(self.blocks_streams_to_vector_0, 1))
self.connect((self.multi_goertzel_0, 11),
(self.blocks_streams_to_vector_0, 11))
self.connect((self.multi_goertzel_0, 12),
(self.blocks_streams_to_vector_0, 12))
self.connect((self.multi_goertzel_0, 13),
(self.blocks_streams_to_vector_0, 13))
self.connect((self.multi_goertzel_0, 14),
(self.blocks_streams_to_vector_0, 14))
self.connect((self.multi_goertzel_0, 2),
(self.blocks_streams_to_vector_0, 2))
self.connect((self.multi_goertzel_0, 3),
(self.blocks_streams_to_vector_0, 3))
self.connect((self.multi_goertzel_0, 4),
(self.blocks_streams_to_vector_0, 4))
self.connect((self.multi_goertzel_0, 5),
(self.blocks_streams_to_vector_0, 5))
self.connect((self.multi_goertzel_0, 6),
(self.blocks_streams_to_vector_0, 6))
self.connect((self.multi_goertzel_0, 7),
(self.blocks_streams_to_vector_0, 7))
self.connect((self.multi_goertzel_0, 8),
(self.blocks_streams_to_vector_0, 8))
self.connect((self.multi_goertzel_0, 9),
(self.blocks_streams_to_vector_0, 9))
self.connect((self.multi_goertzel_0, 10),
(self.blocks_streams_to_vector_0, 10))
self.connect((self.multi_goertzel_0, 0), (self.qtgui_number_sink_0, 0))
self.connect((self.multi_goertzel_0, 1), (self.qtgui_number_sink_0, 1))
self.connect((self.multi_goertzel_0, 2), (self.qtgui_number_sink_0, 2))
self.connect((self.multi_goertzel_0, 3), (self.qtgui_number_sink_0, 3))
self.connect((self.multi_goertzel_0, 4), (self.qtgui_number_sink_0, 4))
self.connect((self.multi_goertzel_0, 5), (self.qtgui_number_sink_0, 5))
self.connect((self.multi_goertzel_0, 6), (self.qtgui_number_sink_0, 6))
self.connect((self.multi_goertzel_0, 7), (self.qtgui_number_sink_0, 7))
self.connect((self.multi_goertzel_0, 8), (self.qtgui_number_sink_0, 8))
self.connect((self.multi_goertzel_0, 9), (self.qtgui_number_sink_0, 9))
self.connect((self.multi_goertzel_0, 11),
(self.qtgui_number_sink_1, 1))
self.connect((self.multi_goertzel_0, 12),
(self.qtgui_number_sink_1, 2))
self.connect((self.multi_goertzel_0, 13),
(self.qtgui_number_sink_1, 3))
self.connect((self.multi_goertzel_0, 14),
(self.qtgui_number_sink_1, 4))
self.connect((self.multi_goertzel_0, 10),
(self.qtgui_number_sink_1, 0))
self.connect((self.uhd_usrp_source_0_0, 0), (self.multi_goertzel_0, 0))
self.connect((self.uhd_usrp_source_0_0, 0),
(self.qtgui_freq_sink_x_0, 0))
self.connect((self.uhd_usrp_source_0_0, 0),
(self.qtgui_time_sink_x_0, 0))
def __init__(self):
gr.top_block.__init__(self, "Top Block")
Qt.QWidget.__init__(self)
self.setWindowTitle("Top Block")
try:
self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc'))
except:
pass
self.top_scroll_layout = Qt.QVBoxLayout()
self.setLayout(self.top_scroll_layout)
self.top_scroll = Qt.QScrollArea()
self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame)
self.top_scroll_layout.addWidget(self.top_scroll)
self.top_scroll.setWidgetResizable(True)
self.top_widget = Qt.QWidget()
self.top_scroll.setWidget(self.top_widget)
self.top_layout = Qt.QVBoxLayout(self.top_widget)
self.top_grid_layout = Qt.QGridLayout()
self.top_layout.addLayout(self.top_grid_layout)
self.settings = Qt.QSettings("GNU Radio", "top_block")
self.restoreGeometry(self.settings.value("geometry").toByteArray())
##################################################
# Variables
##################################################
self.samp_rate = samp_rate = 15e6
self.if_bandwidth_1 = if_bandwidth_1 = 2e6
self.sdr_gain = sdr_gain = 60
self.integration_bandwidth = integration_bandwidth = 5e3
self.if_filter_decimation_rate = if_filter_decimation_rate = int(samp_rate/(1.1*if_bandwidth_1))
self.sdr_power_offset = sdr_power_offset = 1.0
self.sdr_gain_lin = sdr_gain_lin = 10**(sdr_gain/20)
self.num_channels = num_channels = int((samp_rate/if_filter_decimation_rate)/integration_bandwidth)
self.lna_gain_measured = lna_gain_measured = 33.33
self.integration_time = integration_time = 10
self.if_samp_rate = if_samp_rate = samp_rate/if_filter_decimation_rate
self.cable_loss = cable_loss = 0.25
self.variable_function_probe = variable_function_probe = 0
self.sdr_frequency = sdr_frequency = 1420.406e6
self.output_vector_bandwidth = output_vector_bandwidth = samp_rate/if_filter_decimation_rate
self.offset_frequency = offset_frequency = if_bandwidth_1/2+1e5
self.integration_scale_factor = integration_scale_factor = np.full((num_channels),float(1.0/(integration_time*integration_bandwidth*50)),dtype=float)
self.integration_dec_rate = integration_dec_rate = int(integration_time*if_samp_rate/num_channels)
self.if_filter_gain = if_filter_gain = 1/(lna_gain_measured*cable_loss*sdr_gain_lin*sdr_power_offset)
self.if_bandwidth_0 = if_bandwidth_0 = 5.5e6
self.channel_skirt = channel_skirt = integration_bandwidth/100
self.channel_map = channel_map = range(int(num_channels/2.0+1.0),num_channels,1)+range(0,int(num_channels/2.0+1.0),1)
self.antenna_gain_estimated = antenna_gain_estimated = 173
##################################################
# Blocks
##################################################
self.probe_signal = blocks.probe_signal_vf(num_channels)
def _variable_function_probe_probe():
while True:
val = self.probe_signal.level()
try:
self.set_variable_function_probe(val)
except AttributeError:
pass
time.sleep(1.0 / (10))
_variable_function_probe_thread = threading.Thread(target=_variable_function_probe_probe)
_variable_function_probe_thread.daemon = True
_variable_function_probe_thread.start()
self.pfb_channelizer_ccf_0 = pfb.channelizer_ccf(
num_channels,
(firdes.low_pass(1, if_samp_rate, (integration_bandwidth/2-channel_skirt), channel_skirt, firdes.WIN_HAMMING)),
1.0,
0)
self.pfb_channelizer_ccf_0.set_channel_map((channel_map))
self.pfb_channelizer_ccf_0.declare_sample_delay(0)
self.low_pass_filter_1 = filter.fir_filter_ccf(if_filter_decimation_rate, firdes.low_pass(
if_filter_gain, samp_rate, if_bandwidth_1/2, 1e5, firdes.WIN_HAMMING, 6.76))
self.limesdr_source_2 = limesdr.source('0009060B00471B22',
2,
1,
0,
0,
'',
sdr_frequency-offset_frequency,
samp_rate,
0,
1,
15e6,
0,
10e6,
3,
2,
2,
1,
if_bandwidth_0,
1,
5e6,
1,
if_bandwidth_0,
0,
0,
sdr_gain,
30,
0,
0,
0,
0)
self.blocks_streams_to_vector_0 = blocks.streams_to_vector(gr.sizeof_gr_complex*1, num_channels)
self.blocks_multiply_xx_1 = blocks.multiply_vcc(1)
self.blocks_multiply_const_vxx_0 = blocks.multiply_const_vff((integration_scale_factor))
self.blocks_integrate_xx_0_0 = blocks.integrate_ff(integration_dec_rate, num_channels)
self.blocks_file_sink_0 = blocks.file_sink(gr.sizeof_gr_complex*1, '/home/w1xm-admin/Documents/DSP/data_out/recieve_block_sink', False)
self.blocks_file_sink_0.set_unbuffered(False)
self.blocks_copy_0_0 = blocks.copy(gr.sizeof_gr_complex*1)
self.blocks_copy_0_0.set_enabled(False)
self.blocks_copy_0 = blocks.copy(gr.sizeof_gr_complex*1)
self.blocks_copy_0.set_enabled(True)
self.blocks_complex_to_mag_squared_0 = blocks.complex_to_mag_squared(num_channels)
self.analog_sig_source_x_0 = analog.sig_source_c(samp_rate, analog.GR_SIN_WAVE, -offset_frequency, 1, 0)
##################################################
# Connections
##################################################
self.connect((self.analog_sig_source_x_0, 0), (self.blocks_multiply_xx_1, 1))
self.connect((self.blocks_complex_to_mag_squared_0, 0), (self.blocks_integrate_xx_0_0, 0))
self.connect((self.blocks_copy_0, 0), (self.blocks_multiply_xx_1, 0))
self.connect((self.blocks_copy_0_0, 0), (self.blocks_file_sink_0, 0))
self.connect((self.blocks_integrate_xx_0_0, 0), (self.blocks_multiply_const_vxx_0, 0))
self.connect((self.blocks_multiply_const_vxx_0, 0), (self.probe_signal, 0))
self.connect((self.blocks_multiply_xx_1, 0), (self.low_pass_filter_1, 0))
self.connect((self.blocks_streams_to_vector_0, 0), (self.blocks_complex_to_mag_squared_0, 0))
self.connect((self.limesdr_source_2, 0), (self.blocks_copy_0, 0))
self.connect((self.limesdr_source_2, 0), (self.blocks_copy_0_0, 0))
self.connect((self.low_pass_filter_1, 0), (self.pfb_channelizer_ccf_0, 0))
for i in range(num_channels):
self.connect((self.pfb_channelizer_ccf_0, i), (self.blocks_streams_to_vector_0, i))
def __init__(self):
gr.top_block.__init__(self, "Receive Single FM Station")
Qt.QWidget.__init__(self)
self.setWindowTitle("Receive Single FM Station")
try:
self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc'))
except:
pass
self.top_scroll_layout = Qt.QVBoxLayout()
self.setLayout(self.top_scroll_layout)
self.top_scroll = Qt.QScrollArea()
self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame)
self.top_scroll_layout.addWidget(self.top_scroll)
self.top_scroll.setWidgetResizable(True)
self.top_widget = Qt.QWidget()
self.top_scroll.setWidget(self.top_widget)
self.top_layout = Qt.QVBoxLayout(self.top_widget)
self.top_grid_layout = Qt.QGridLayout()
self.top_layout.addLayout(self.top_grid_layout)
self.settings = Qt.QSettings("GNU Radio", "rcv_single_fm")
self.restoreGeometry(self.settings.value("geometry").toByteArray())
##################################################
# Variables
##################################################
self.rf_rate = rf_rate = 20e6
self.rf_frequency_h = rf_frequency_h = 88.5
self.fm_taps = fm_taps = firdes.low_pass_2(32., rf_rate, 96e3, 25e3, 50)
self.audio_rate = audio_rate = 44100
self.taps_len = taps_len = fm_taps.__len__()
self.rf_gain = rf_gain = 50
self.rf_frequency = rf_frequency = 98.1e6
self.fm_channel_rate = fm_channel_rate = audio_rate*5
self.channel_number = channel_number = int(10*(rf_frequency_h-98)) /2if rf_frequency_h>=98 else 50 + int(10*(rf_frequency_h-88.1))/2
##################################################
# Blocks
##################################################
self._rf_rate_range = Range(100e3, 20e6, 200e3, 20e6, 200)
self._rf_rate_win = RangeWidget(self._rf_rate_range, self.set_rf_rate, 'RF sample rate', "counter_slider", float)
self.top_layout.addWidget(self._rf_rate_win)
self._rf_gain_range = Range(0, 90, 1, 50, 200)
self._rf_gain_win = RangeWidget(self._rf_gain_range, self.set_rf_gain, 'RF gain', "counter_slider", float)
self.top_layout.addWidget(self._rf_gain_win)
self.uhd_usrp_source_0 = uhd.usrp_source(
",".join(("", "")),
uhd.stream_args(
cpu_format="fc32",
channels=range(1),
),
)
self.uhd_usrp_source_0.set_samp_rate(rf_rate)
self.uhd_usrp_source_0.set_center_freq(rf_frequency, 0)
self.uhd_usrp_source_0.set_gain(rf_gain, 0)
self.uhd_usrp_source_0.set_antenna('RX2', 0)
self._rf_frequency_h_range = Range(88.0, 108.0, .2, 88.5, 200)
self._rf_frequency_h_win = RangeWidget(self._rf_frequency_h_range, self.set_rf_frequency_h, 'RF Frequency', "counter_slider", float)
self.top_layout.addWidget(self._rf_frequency_h_win)
self.rational_resampler_xxx_0 = filter.rational_resampler_ccc(
interpolation=fm_channel_rate,
decimation=int(200e3),
taps=None,
fractional_bw=None,
)
self.qtgui_waterfall_sink_x_0_0 = qtgui.waterfall_sink_c(
1024, #size
firdes.WIN_BLACKMAN_hARRIS, #wintype
rf_frequency, #fc
rf_rate, #bw
"Received Spectrum", #name
1 #number of inputs
)
self.qtgui_waterfall_sink_x_0_0.set_update_time(0.10)
self.qtgui_waterfall_sink_x_0_0.enable_grid(False)
self.qtgui_waterfall_sink_x_0_0.enable_axis_labels(True)
if not True:
self.qtgui_waterfall_sink_x_0_0.disable_legend()
if "complex" == "float" or "complex" == "msg_float":
self.qtgui_waterfall_sink_x_0_0.set_plot_pos_half(not True)
labels = ['', '', '', '', '',
'', '', '', '', '']
colors = [0, 0, 0, 0, 0,
0, 0, 0, 0, 0]
alphas = [1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0]
for i in xrange(1):
if len(labels[i]) == 0:
self.qtgui_waterfall_sink_x_0_0.set_line_label(i, "Data {0}".format(i))
else:
self.qtgui_waterfall_sink_x_0_0.set_line_label(i, labels[i])
self.qtgui_waterfall_sink_x_0_0.set_color_map(i, colors[i])
self.qtgui_waterfall_sink_x_0_0.set_line_alpha(i, alphas[i])
self.qtgui_waterfall_sink_x_0_0.set_intensity_range(-140, 10)
self._qtgui_waterfall_sink_x_0_0_win = sip.wrapinstance(self.qtgui_waterfall_sink_x_0_0.pyqwidget(), Qt.QWidget)
self.top_layout.addWidget(self._qtgui_waterfall_sink_x_0_0_win)
self.pfb_channelizer_ccf_0 = pfb.channelizer_ccf(
100,
(fm_taps),
1.0,
100)
self.pfb_channelizer_ccf_0.set_channel_map(([channel_number]))
self.pfb_channelizer_ccf_0.declare_sample_delay(0)
self.channel_power_display = qtgui.vector_sink_f(
1,
0,
1.0,
"x-Axis",
"y-Axis",
"Power per FM Channel",
1 # Number of inputs
)
self.channel_power_display.set_update_time(0.10)
self.channel_power_display.set_y_axis(-140, 10)
self.channel_power_display.enable_autoscale(False)
self.channel_power_display.enable_grid(False)
self.channel_power_display.set_x_axis_units("")
self.channel_power_display.set_y_axis_units("")
self.channel_power_display.set_ref_level(0)
labels = ['', '', '', '', '',
'', '', '', '', '']
widths = [1, 1, 1, 1, 1,
1, 1, 1, 1, 1]
colors = ["blue", "red", "green", "black", "cyan",
"magenta", "yellow", "dark red", "dark green", "dark blue"]
alphas = [1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0]
for i in xrange(1):
if len(labels[i]) == 0:
self.channel_power_display.set_line_label(i, "Data {0}".format(i))
else:
self.channel_power_display.set_line_label(i, labels[i])
self.channel_power_display.set_line_width(i, widths[i])
self.channel_power_display.set_line_color(i, colors[i])
self.channel_power_display.set_line_alpha(i, alphas[i])
self._channel_power_display_win = sip.wrapinstance(self.channel_power_display.pyqwidget(), Qt.QWidget)
self.top_layout.addWidget(self._channel_power_display_win)
self.blocks_streams_to_vector_0 = blocks.streams_to_vector(gr.sizeof_float*1, 1)
self.blocks_null_sink_0 = blocks.null_sink(gr.sizeof_gr_complex*1)
self.blocks_complex_to_mag_squared_0 = blocks.complex_to_mag_squared(1)
##################################################
# Connections
##################################################
self.connect((self.blocks_complex_to_mag_squared_0, 0), (self.blocks_streams_to_vector_0, 0))
self.connect((self.blocks_streams_to_vector_0, 0), (self.channel_power_display, 0))
self.connect((self.pfb_channelizer_ccf_0, 1), (self.blocks_null_sink_0, 0))
self.connect((self.pfb_channelizer_ccf_0, 2), (self.blocks_null_sink_0, 1))
self.connect((self.pfb_channelizer_ccf_0, 3), (self.blocks_null_sink_0, 2))
self.connect((self.pfb_channelizer_ccf_0, 4), (self.blocks_null_sink_0, 3))
self.connect((self.pfb_channelizer_ccf_0, 5), (self.blocks_null_sink_0, 4))
self.connect((self.pfb_channelizer_ccf_0, 6), (self.blocks_null_sink_0, 5))
self.connect((self.pfb_channelizer_ccf_0, 7), (self.blocks_null_sink_0, 6))
self.connect((self.pfb_channelizer_ccf_0, 8), (self.blocks_null_sink_0, 7))
self.connect((self.pfb_channelizer_ccf_0, 9), (self.blocks_null_sink_0, 8))
self.connect((self.pfb_channelizer_ccf_0, 10), (self.blocks_null_sink_0, 9))
self.connect((self.pfb_channelizer_ccf_0, 11), (self.blocks_null_sink_0, 10))
self.connect((self.pfb_channelizer_ccf_0, 12), (self.blocks_null_sink_0, 11))
self.connect((self.pfb_channelizer_ccf_0, 13), (self.blocks_null_sink_0, 12))
self.connect((self.pfb_channelizer_ccf_0, 14), (self.blocks_null_sink_0, 13))
self.connect((self.pfb_channelizer_ccf_0, 15), (self.blocks_null_sink_0, 14))
self.connect((self.pfb_channelizer_ccf_0, 16), (self.blocks_null_sink_0, 15))
self.connect((self.pfb_channelizer_ccf_0, 17), (self.blocks_null_sink_0, 16))
self.connect((self.pfb_channelizer_ccf_0, 18), (self.blocks_null_sink_0, 17))
self.connect((self.pfb_channelizer_ccf_0, 19), (self.blocks_null_sink_0, 18))
self.connect((self.pfb_channelizer_ccf_0, 20), (self.blocks_null_sink_0, 19))
self.connect((self.pfb_channelizer_ccf_0, 21), (self.blocks_null_sink_0, 20))
self.connect((self.pfb_channelizer_ccf_0, 22), (self.blocks_null_sink_0, 21))
self.connect((self.pfb_channelizer_ccf_0, 23), (self.blocks_null_sink_0, 22))
self.connect((self.pfb_channelizer_ccf_0, 24), (self.blocks_null_sink_0, 23))
self.connect((self.pfb_channelizer_ccf_0, 25), (self.blocks_null_sink_0, 24))
self.connect((self.pfb_channelizer_ccf_0, 26), (self.blocks_null_sink_0, 25))
self.connect((self.pfb_channelizer_ccf_0, 27), (self.blocks_null_sink_0, 26))
self.connect((self.pfb_channelizer_ccf_0, 28), (self.blocks_null_sink_0, 27))
self.connect((self.pfb_channelizer_ccf_0, 29), (self.blocks_null_sink_0, 28))
self.connect((self.pfb_channelizer_ccf_0, 30), (self.blocks_null_sink_0, 29))
self.connect((self.pfb_channelizer_ccf_0, 31), (self.blocks_null_sink_0, 30))
self.connect((self.pfb_channelizer_ccf_0, 32), (self.blocks_null_sink_0, 31))
self.connect((self.pfb_channelizer_ccf_0, 33), (self.blocks_null_sink_0, 32))
self.connect((self.pfb_channelizer_ccf_0, 34), (self.blocks_null_sink_0, 33))
self.connect((self.pfb_channelizer_ccf_0, 35), (self.blocks_null_sink_0, 34))
self.connect((self.pfb_channelizer_ccf_0, 36), (self.blocks_null_sink_0, 35))
self.connect((self.pfb_channelizer_ccf_0, 37), (self.blocks_null_sink_0, 36))
self.connect((self.pfb_channelizer_ccf_0, 38), (self.blocks_null_sink_0, 37))
self.connect((self.pfb_channelizer_ccf_0, 39), (self.blocks_null_sink_0, 38))
self.connect((self.pfb_channelizer_ccf_0, 40), (self.blocks_null_sink_0, 39))
self.connect((self.pfb_channelizer_ccf_0, 41), (self.blocks_null_sink_0, 40))
self.connect((self.pfb_channelizer_ccf_0, 42), (self.blocks_null_sink_0, 41))
self.connect((self.pfb_channelizer_ccf_0, 43), (self.blocks_null_sink_0, 42))
self.connect((self.pfb_channelizer_ccf_0, 44), (self.blocks_null_sink_0, 43))
self.connect((self.pfb_channelizer_ccf_0, 45), (self.blocks_null_sink_0, 44))
self.connect((self.pfb_channelizer_ccf_0, 46), (self.blocks_null_sink_0, 45))
self.connect((self.pfb_channelizer_ccf_0, 47), (self.blocks_null_sink_0, 46))
self.connect((self.pfb_channelizer_ccf_0, 48), (self.blocks_null_sink_0, 47))
self.connect((self.pfb_channelizer_ccf_0, 49), (self.blocks_null_sink_0, 48))
self.connect((self.pfb_channelizer_ccf_0, 50), (self.blocks_null_sink_0, 49))
self.connect((self.pfb_channelizer_ccf_0, 51), (self.blocks_null_sink_0, 50))
self.connect((self.pfb_channelizer_ccf_0, 52), (self.blocks_null_sink_0, 51))
self.connect((self.pfb_channelizer_ccf_0, 53), (self.blocks_null_sink_0, 52))
self.connect((self.pfb_channelizer_ccf_0, 54), (self.blocks_null_sink_0, 53))
self.connect((self.pfb_channelizer_ccf_0, 55), (self.blocks_null_sink_0, 54))
self.connect((self.pfb_channelizer_ccf_0, 56), (self.blocks_null_sink_0, 55))
self.connect((self.pfb_channelizer_ccf_0, 57), (self.blocks_null_sink_0, 56))
self.connect((self.pfb_channelizer_ccf_0, 58), (self.blocks_null_sink_0, 57))
self.connect((self.pfb_channelizer_ccf_0, 59), (self.blocks_null_sink_0, 58))
self.connect((self.pfb_channelizer_ccf_0, 60), (self.blocks_null_sink_0, 59))
self.connect((self.pfb_channelizer_ccf_0, 61), (self.blocks_null_sink_0, 60))
self.connect((self.pfb_channelizer_ccf_0, 62), (self.blocks_null_sink_0, 61))
self.connect((self.pfb_channelizer_ccf_0, 63), (self.blocks_null_sink_0, 62))
self.connect((self.pfb_channelizer_ccf_0, 64), (self.blocks_null_sink_0, 63))
self.connect((self.pfb_channelizer_ccf_0, 65), (self.blocks_null_sink_0, 64))
self.connect((self.pfb_channelizer_ccf_0, 66), (self.blocks_null_sink_0, 65))
self.connect((self.pfb_channelizer_ccf_0, 67), (self.blocks_null_sink_0, 66))
self.connect((self.pfb_channelizer_ccf_0, 68), (self.blocks_null_sink_0, 67))
self.connect((self.pfb_channelizer_ccf_0, 69), (self.blocks_null_sink_0, 68))
self.connect((self.pfb_channelizer_ccf_0, 70), (self.blocks_null_sink_0, 69))
self.connect((self.pfb_channelizer_ccf_0, 71), (self.blocks_null_sink_0, 70))
self.connect((self.pfb_channelizer_ccf_0, 72), (self.blocks_null_sink_0, 71))
self.connect((self.pfb_channelizer_ccf_0, 73), (self.blocks_null_sink_0, 72))
self.connect((self.pfb_channelizer_ccf_0, 74), (self.blocks_null_sink_0, 73))
self.connect((self.pfb_channelizer_ccf_0, 75), (self.blocks_null_sink_0, 74))
self.connect((self.pfb_channelizer_ccf_0, 76), (self.blocks_null_sink_0, 75))
self.connect((self.pfb_channelizer_ccf_0, 77), (self.blocks_null_sink_0, 76))
self.connect((self.pfb_channelizer_ccf_0, 78), (self.blocks_null_sink_0, 77))
self.connect((self.pfb_channelizer_ccf_0, 79), (self.blocks_null_sink_0, 78))
self.connect((self.pfb_channelizer_ccf_0, 80), (self.blocks_null_sink_0, 79))
self.connect((self.pfb_channelizer_ccf_0, 81), (self.blocks_null_sink_0, 80))
self.connect((self.pfb_channelizer_ccf_0, 82), (self.blocks_null_sink_0, 81))
self.connect((self.pfb_channelizer_ccf_0, 83), (self.blocks_null_sink_0, 82))
self.connect((self.pfb_channelizer_ccf_0, 84), (self.blocks_null_sink_0, 83))
self.connect((self.pfb_channelizer_ccf_0, 85), (self.blocks_null_sink_0, 84))
self.connect((self.pfb_channelizer_ccf_0, 86), (self.blocks_null_sink_0, 85))
self.connect((self.pfb_channelizer_ccf_0, 87), (self.blocks_null_sink_0, 86))
self.connect((self.pfb_channelizer_ccf_0, 88), (self.blocks_null_sink_0, 87))
self.connect((self.pfb_channelizer_ccf_0, 89), (self.blocks_null_sink_0, 88))
self.connect((self.pfb_channelizer_ccf_0, 90), (self.blocks_null_sink_0, 89))
self.connect((self.pfb_channelizer_ccf_0, 91), (self.blocks_null_sink_0, 90))
self.connect((self.pfb_channelizer_ccf_0, 92), (self.blocks_null_sink_0, 91))
self.connect((self.pfb_channelizer_ccf_0, 93), (self.blocks_null_sink_0, 92))
self.connect((self.pfb_channelizer_ccf_0, 94), (self.blocks_null_sink_0, 93))
self.connect((self.pfb_channelizer_ccf_0, 95), (self.blocks_null_sink_0, 94))
self.connect((self.pfb_channelizer_ccf_0, 96), (self.blocks_null_sink_0, 95))
self.connect((self.pfb_channelizer_ccf_0, 97), (self.blocks_null_sink_0, 96))
self.connect((self.pfb_channelizer_ccf_0, 98), (self.blocks_null_sink_0, 97))
self.connect((self.pfb_channelizer_ccf_0, 99), (self.blocks_null_sink_0, 98))
self.connect((self.pfb_channelizer_ccf_0, 0), (self.rational_resampler_xxx_0, 0))
self.connect((self.rational_resampler_xxx_0, 0), (self.blocks_complex_to_mag_squared_0, 0))
self.connect((self.uhd_usrp_source_0, 0), (self.pfb_channelizer_ccf_0, 0))
self.connect((self.uhd_usrp_source_0, 0), (self.qtgui_waterfall_sink_x_0_0, 0))
def __init__(self):
gr.top_block.__init__(self, "MIMO TOP FLOW")
##################################################
# Variables
##################################################
self.fftl = fftl = 128
self.samp_rate = samp_rate = fftl * 15e3
self.rxant = rxant = 2
self.resampler = resampler = 400
self.frame_key = frame_key = "slot"
self.N_rb_dl = N_rb_dl = 50
##################################################
# Blocks
##################################################
self.lte_mimo_sss_sync_0 = lte_mimo_sss_sync(
N_rb_dl=N_rb_dl,
rxant=rxant,
)
self.lte_mimo_pss_sync_0 = lte_mimo_pss_sync(
rxant=rxant,
synclen=5,
fftlen=fftl,
)
self.lte_mimo_pss_based_frey_sync_0 = lte_mimo_pss_based_frey_sync(
fftlen=fftl,
rxant=rxant,
)
self.lte_mimo_ofdm_rx_0 = lte_mimo_ofdm_rx(
N_rb_dl=N_rb_dl,
ofdm_key=frame_key,
fftlen=fftl,
rxant=rxant,
)
self.lte_mimo_estimator_0 = lte_mimo_estimator(
N_rb_dl=N_rb_dl,
estimator_key=frame_key,
initial_id=2,
rxant=rxant,
)
self.lte_mimo_decode_pbch_0 = lte_mimo_decode_pbch(
N_rb_dl=N_rb_dl,
rxant=rxant,
)
self.blocks_vector_to_streams_0 = blocks.vector_to_streams(
gr.sizeof_gr_complex * 1, 2)
self.blocks_throttle_0 = blocks.throttle(gr.sizeof_gr_complex * 2,
samp_rate, True)
self.blocks_streams_to_vector_0_0 = blocks.streams_to_vector(
gr.sizeof_gr_complex * 12 * N_rb_dl, 2)
self.blocks_file_source_0 = blocks.file_source(
gr.sizeof_gr_complex * 2,
"/home/johannes/src/gr-lte/tests/lte_test_data_RX2_NRBDL6.dat",
True)
self.bch_decode_bch_hier_gr37_0 = decode_bch_hier_gr37()
self.MIB = lte.mib_unpack_vbm("MIB")
##################################################
# Connections
##################################################
self.connect((self.lte_mimo_pss_sync_0, 1),
(self.lte_mimo_pss_based_frey_sync_0, 1))
self.connect((self.lte_mimo_pss_sync_0, 0),
(self.lte_mimo_pss_based_frey_sync_0, 0))
self.connect((self.lte_mimo_pss_based_frey_sync_0, 0),
(self.lte_mimo_ofdm_rx_0, 0))
self.connect((self.lte_mimo_pss_based_frey_sync_0, 1),
(self.lte_mimo_ofdm_rx_0, 1))
self.connect((self.blocks_throttle_0, 0),
(self.blocks_vector_to_streams_0, 0))
self.connect((self.blocks_file_source_0, 0),
(self.blocks_throttle_0, 0))
self.connect((self.blocks_vector_to_streams_0, 0),
(self.lte_mimo_pss_sync_0, 0))
self.connect((self.blocks_vector_to_streams_0, 1),
(self.lte_mimo_pss_sync_0, 1))
self.connect((self.lte_mimo_ofdm_rx_0, 0),
(self.lte_mimo_sss_sync_0, 0))
self.connect((self.lte_mimo_ofdm_rx_0, 1),
(self.lte_mimo_sss_sync_0, 1))
self.connect((self.lte_mimo_decode_pbch_0, 0),
(self.bch_decode_bch_hier_gr37_0, 0))
self.connect((self.lte_mimo_estimator_0, 0),
(self.lte_mimo_decode_pbch_0, 1))
self.connect((self.lte_mimo_estimator_0, 1),
(self.lte_mimo_decode_pbch_0, 2))
self.connect((self.bch_decode_bch_hier_gr37_0, 1), (self.MIB, 1))
self.connect((self.bch_decode_bch_hier_gr37_0, 0), (self.MIB, 0))
self.connect((self.lte_mimo_sss_sync_0, 1),
(self.blocks_streams_to_vector_0_0, 1))
self.connect((self.lte_mimo_sss_sync_0, 0),
(self.blocks_streams_to_vector_0_0, 0))
self.connect((self.blocks_streams_to_vector_0_0, 0),
(self.lte_mimo_estimator_0, 0))
self.connect((self.blocks_streams_to_vector_0_0, 0),
(self.lte_mimo_decode_pbch_0, 0))
##################################################
# Asynch Message Connections
##################################################
self.msg_connect(self.lte_mimo_sss_sync_0, "cell_id",
self.lte_mimo_estimator_0, "cell_id")
self.msg_connect(self.lte_mimo_pss_sync_0, "N_id_2",
self.lte_mimo_sss_sync_0, "N_id_2")
self.msg_connect(self.lte_mimo_sss_sync_0, "cell_id",
self.lte_mimo_decode_pbch_0, "cell_id")
def __init__(self):
gr.top_block.__init__(self, "Top Block")
Qt.QWidget.__init__(self)
self.setWindowTitle("Top Block")
try:
self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc'))
except:
pass
self.top_scroll_layout = Qt.QVBoxLayout()
self.setLayout(self.top_scroll_layout)
self.top_scroll = Qt.QScrollArea()
self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame)
self.top_scroll_layout.addWidget(self.top_scroll)
self.top_scroll.setWidgetResizable(True)
self.top_widget = Qt.QWidget()
self.top_scroll.setWidget(self.top_widget)
self.top_layout = Qt.QVBoxLayout(self.top_widget)
self.top_grid_layout = Qt.QGridLayout()
self.top_layout.addLayout(self.top_grid_layout)
self.settings = Qt.QSettings("GNU Radio", "top_block")
self.restoreGeometry(self.settings.value("geometry").toByteArray())
##################################################
# Variables
##################################################
self.Nt = Nt = 2
self.dft_coef = dft_coef = np.exp(-2*np.pi*1j/Nt)
self.A = A = np.arange(Nt)[np.newaxis]
self.tlen = tlen = 4000
self.samp_rate = samp_rate = 100000
self.dft_matrix = dft_matrix = np.power(dft_coef, np.dot(A.transpose(),A))
self.scramble_2 = scramble_2 = 2*np.random.random_integers(0,1,size=(tlen,Nt))-1
self.scramble_1 = scramble_1 = 2*np.random.random_integers(0,1,size=(tlen,Nt))-1
self.prefix = prefix = '/home/zhe/gr-PWF/examples'
self.noise = noise = [np.identity(Nt), np.identity(Nt)]
self.max_iteration = max_iteration = 20
self.interpo = interpo = samp_rate/1000
self.dft_pilot_seq = dft_pilot_seq = np.tile(dft_matrix,(tlen/Nt,1))
self.Q = Q = 4
self.L = L = 2
self.sigmagenfile = sigmagenfile = prefix+'/sigmagens/sigmagen_10.bin'
self.pulse = pulse = filter.firdes.root_raised_cosine(Q,Q,1,0.35,11*Q)
self.prewhiten1 = prewhiten1 = np.linalg.pinv(noise[1])
self.prewhiten0 = prewhiten0 = np.linalg.pinv(noise[0])
self.pilot_seq_2 = pilot_seq_2 = np.multiply(dft_pilot_seq,scramble_2)
self.pilot_seq_1 = pilot_seq_1 = np.multiply(dft_pilot_seq,scramble_1)
self.pilot2file = pilot2file = prefix+'/pilots/pilot2_4000.bin'
self.pilot1file = pilot1file = prefix+'/pilots/pilot1_4000.bin'
self.payload_size = payload_size = 0
self.npoints = npoints = max_iteration*interpo
self.noise_hat = noise_hat = [np.identity(Nt), np.identity(Nt)]
self.ichn_gain_dB = ichn_gain_dB = 10
self.channelfile = channelfile = prefix+'/channels/2x2channel_10dB_3.bin'
self.channel = channel = np.true_divide(np.random.standard_normal(size=(L,L,Nt,Nt))+np.random.standard_normal(size=(L,L,Nt,Nt))*1j,np.sqrt(2))
self.Pt = Pt = 100
##################################################
# Blocks
##################################################
self.qtgui_time_sink_x_0 = qtgui.time_sink_f(
npoints, #size
samp_rate, #samp_rate
"Strong Interference (ichn_gain = 10dB)", #name
2 #number of inputs
)
self.qtgui_time_sink_x_0.set_update_time(0.1)
self.qtgui_time_sink_x_0.set_y_axis(0, 20)
self.qtgui_time_sink_x_0.set_y_label("Weighted Sum-Rate (bits/s/Hz)", "")
self.qtgui_time_sink_x_0.enable_tags(-1, True)
self.qtgui_time_sink_x_0.set_trigger_mode(qtgui.TRIG_MODE_AUTO, qtgui.TRIG_SLOPE_POS, 0.0, 0, 0, "")
self.qtgui_time_sink_x_0.enable_autoscale(True)
self.qtgui_time_sink_x_0.enable_grid(True)
self.qtgui_time_sink_x_0.enable_control_panel(False)
if not True:
self.qtgui_time_sink_x_0.disable_legend()
labels = ["Dual Link", "Identity Sigma", "", "", "",
"", "", "", "", ""]
widths = [1, 1, 1, 1, 1,
1, 1, 1, 1, 1]
colors = ["blue", "red", "green", "black", "cyan",
"magenta", "yellow", "dark red", "dark green", "blue"]
styles = [1, 1, 1, 1, 1,
1, 1, 1, 1, 1]
markers = [-1, -1, -1, -1, -1,
-1, -1, -1, -1, -1]
alphas = [1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0]
for i in xrange(2):
if len(labels[i]) == 0:
self.qtgui_time_sink_x_0.set_line_label(i, "Data {0}".format(i))
else:
self.qtgui_time_sink_x_0.set_line_label(i, labels[i])
self.qtgui_time_sink_x_0.set_line_width(i, widths[i])
self.qtgui_time_sink_x_0.set_line_color(i, colors[i])
self.qtgui_time_sink_x_0.set_line_style(i, styles[i])
self.qtgui_time_sink_x_0.set_line_marker(i, markers[i])
self.qtgui_time_sink_x_0.set_line_alpha(i, alphas[i])
self._qtgui_time_sink_x_0_win = sip.wrapinstance(self.qtgui_time_sink_x_0.pyqwidget(), Qt.QWidget)
self.top_layout.addWidget(self._qtgui_time_sink_x_0_win)
self.phase_corrector_0_2 = phase_corrector(
loop_bandwidth=2*np.pi*0.005,
max_freq=2*np.pi*0.01,
training_sequence=pilot_seq_1[:,0],
)
self.phase_corrector_0_1_0 = phase_corrector(
loop_bandwidth=2*np.pi*0.005,
max_freq=2*np.pi*0.01,
training_sequence=pilot_seq_2[:,0],
)
self.phase_corrector_0_1 = phase_corrector(
loop_bandwidth=2*np.pi*0.005,
max_freq=2*np.pi*0.01,
training_sequence=pilot_seq_2[:,0],
)
self.phase_corrector_0_0_1 = phase_corrector(
loop_bandwidth=2*np.pi*0.005,
max_freq=2*np.pi*0.01,
training_sequence=pilot_seq_1[:,1],
)
self.phase_corrector_0_0_0_0 = phase_corrector(
loop_bandwidth=2*np.pi*0.005,
max_freq=2*np.pi*0.01,
training_sequence=pilot_seq_2[:,1],
)
self.phase_corrector_0_0_0 = phase_corrector(
loop_bandwidth=2*np.pi*0.005,
max_freq=2*np.pi*0.01,
training_sequence=pilot_seq_2[:,1],
)
self.phase_corrector_0_0 = phase_corrector(
loop_bandwidth=2*np.pi*0.005,
max_freq=2*np.pi*0.01,
training_sequence=pilot_seq_1[:,1],
)
self.phase_corrector_0 = phase_corrector(
loop_bandwidth=2*np.pi*0.005,
max_freq=2*np.pi*0.01,
training_sequence=pilot_seq_1[:,0],
)
self.interp_fir_filter_xxx_0_1_0 = filter.interp_fir_filter_ccc(Q, (pulse))
self.interp_fir_filter_xxx_0_1_0.declare_sample_delay(0)
self.interp_fir_filter_xxx_0_1 = filter.interp_fir_filter_ccc(Q, (pulse))
self.interp_fir_filter_xxx_0_1.declare_sample_delay(0)
self.interp_fir_filter_xxx_0_0 = filter.interp_fir_filter_ccc(Q, (pulse))
self.interp_fir_filter_xxx_0_0.declare_sample_delay(0)
self.interp_fir_filter_xxx_0 = filter.interp_fir_filter_ccc(Q, (pulse))
self.interp_fir_filter_xxx_0.declare_sample_delay(0)
self.fir_filter_xxx_0_1 = filter.fir_filter_ccc(Q, (pulse))
self.fir_filter_xxx_0_1.declare_sample_delay(0)
self.fir_filter_xxx_0_0_0 = filter.fir_filter_ccc(Q, (pulse))
self.fir_filter_xxx_0_0_0.declare_sample_delay(0)
self.fir_filter_xxx_0_0 = filter.fir_filter_ccc(Q, (pulse))
self.fir_filter_xxx_0_0.declare_sample_delay(0)
self.fir_filter_xxx_0 = filter.fir_filter_ccc(Q, (pulse))
self.fir_filter_xxx_0.declare_sample_delay(0)
self.blocks_vector_to_streams_1_2 = blocks.vector_to_streams(gr.sizeof_gr_complex*1, 2)
self.blocks_vector_to_streams_1_1_1 = blocks.vector_to_streams(gr.sizeof_gr_complex*1, 2)
self.blocks_vector_to_streams_1_1_0_0 = blocks.vector_to_streams(gr.sizeof_gr_complex*1, 2)
self.blocks_vector_to_streams_1_1_0 = blocks.vector_to_streams(gr.sizeof_gr_complex*1, 2)
self.blocks_vector_to_streams_1_1 = blocks.vector_to_streams(gr.sizeof_gr_complex*1, 2)
self.blocks_vector_to_streams_1_0_0 = blocks.vector_to_streams(gr.sizeof_gr_complex*1, 2)
self.blocks_vector_to_streams_1_0 = blocks.vector_to_streams(gr.sizeof_gr_complex*1, 2)
self.blocks_vector_to_streams_1 = blocks.vector_to_streams(gr.sizeof_gr_complex*1, 2)
self.blocks_vector_to_streams_0 = blocks.vector_to_streams(gr.sizeof_gr_complex*4, 2)
self.blocks_udp_source_1 = blocks.udp_source(gr.sizeof_gr_complex*8, "127.0.0.1", 1234, 1472, True)
self.blocks_udp_sink_1_0 = blocks.udp_sink(gr.sizeof_gr_complex*8, "127.0.0.1", 1234, 1472, True)
self.blocks_udp_sink_1 = blocks.udp_sink(gr.sizeof_gr_complex*8, "127.0.0.1", 1234, 1472, True)
self.blocks_streams_to_vector_1_2 = blocks.streams_to_vector(gr.sizeof_gr_complex*1, 2)
self.blocks_streams_to_vector_1_1_1 = blocks.streams_to_vector(gr.sizeof_gr_complex*1, 2)
self.blocks_streams_to_vector_1_1_0_0 = blocks.streams_to_vector(gr.sizeof_gr_complex*1, 2)
self.blocks_streams_to_vector_1_1_0 = blocks.streams_to_vector(gr.sizeof_gr_complex*1, 2)
self.blocks_streams_to_vector_1_1 = blocks.streams_to_vector(gr.sizeof_gr_complex*1, 2)
self.blocks_streams_to_vector_1_0_0 = blocks.streams_to_vector(gr.sizeof_gr_complex*1, 2)
self.blocks_streams_to_vector_1_0 = blocks.streams_to_vector(gr.sizeof_gr_complex*1, 2)
self.blocks_streams_to_vector_1 = blocks.streams_to_vector(gr.sizeof_gr_complex*1, 2)
self.blocks_streams_to_vector_0_0 = blocks.streams_to_vector(gr.sizeof_gr_complex*4, 2)
self.blocks_streams_to_vector_0 = blocks.streams_to_vector(gr.sizeof_gr_complex*4, 2)
self.blocks_repeat_0_0 = blocks.repeat(gr.sizeof_float*1, interpo)
self.blocks_repeat_0 = blocks.repeat(gr.sizeof_float*1, interpo)
self.blocks_file_sink_0 = blocks.file_sink(gr.sizeof_gr_complex*8, "/home/zhe/Dropbox/gnuradio_trunk/gnufiles/udp", False)
self.blocks_file_sink_0.set_unbuffered(True)
self.PWF_weighted_sum_rate_0 = PWF.weighted_sum_rate(L, Nt, Pt, channel, ichn_gain_dB, [1,1],[prewhiten0 ,prewhiten1], False, channelfile)
self.PWF_sigmagen_0 = PWF.sigmagen(L, Nt, Pt, True, sigmagenfile)
self.PWF_power_adjust_1_0 = PWF.power_adjust(Nt, Pt, L)
self.PWF_power_adjust_1 = PWF.power_adjust(Nt, Pt, L)
self.PWF_pilot_receive_tx_0_0 = PWF.pilot_receive_tx(True, pilot1file, pilot_seq_1, Nt, tlen,noise_hat[0], tlen, 1)
self.PWF_pilot_receive_tx_0 = PWF.pilot_receive_tx(True, pilot2file, pilot_seq_2, Nt, tlen,noise_hat[1], tlen, 1)
self.PWF_pilot_receive_rx_0_0 = PWF.pilot_receive_rx(True, pilot2file, pilot_seq_2, prewhiten1, Nt, tlen, tlen+payload_size, 1)
self.PWF_pilot_receive_rx_0 = PWF.pilot_receive_rx(True, pilot1file, pilot_seq_1, prewhiten0, Nt, tlen, tlen+payload_size, 1)
self.PWF_pilot_gen_tx_0_0 = PWF.pilot_gen_tx(Nt, tlen, pilot_seq_2, True, pilot2file)
self.PWF_pilot_gen_tx_0 = PWF.pilot_gen_tx(Nt, tlen, pilot_seq_1, True, pilot1file)
self.PWF_pilot_gen_rx_0_0 = PWF.pilot_gen_rx(Nt, tlen, prewhiten0, pilot_seq_1, True, pilot1file)
self.PWF_pilot_gen_rx_0 = PWF.pilot_gen_rx(Nt, tlen, prewhiten1, pilot_seq_2, True, pilot2file)
self.PWF_debug_printmsg_0 = PWF.debug_printmsg(L, Nt, False, 20)
self.PWF_channel_1 = PWF.channel(L, Nt, ichn_gain_dB, channel, False,noise_hat, False, channelfile)
self.PWF_channel_0 = PWF.channel(L, Nt, ichn_gain_dB, channel, True,noise, True, channelfile)
##################################################
# Connections
##################################################
self.connect((self.PWF_channel_0, 0), (self.blocks_vector_to_streams_1_1, 0))
self.connect((self.PWF_channel_0, 1), (self.blocks_vector_to_streams_1_1_0, 0))
self.connect((self.PWF_channel_1, 1), (self.blocks_vector_to_streams_1_1_0_0, 0))
self.connect((self.PWF_channel_1, 0), (self.blocks_vector_to_streams_1_1_1, 0))
self.connect((self.PWF_debug_printmsg_0, 0), (self.PWF_pilot_gen_tx_0, 0))
self.connect((self.PWF_debug_printmsg_0, 1), (self.PWF_pilot_gen_tx_0_0, 0))
self.connect((self.PWF_pilot_gen_rx_0, 0), (self.blocks_vector_to_streams_1_0_0, 0))
self.connect((self.PWF_pilot_gen_rx_0_0, 0), (self.blocks_vector_to_streams_1_2, 0))
self.connect((self.PWF_pilot_gen_tx_0, 0), (self.blocks_vector_to_streams_1, 0))
self.connect((self.PWF_pilot_gen_tx_0_0, 0), (self.blocks_vector_to_streams_1_0, 0))
self.connect((self.PWF_pilot_receive_rx_0, 0), (self.PWF_power_adjust_1, 0))
self.connect((self.PWF_pilot_receive_rx_0_0, 0), (self.PWF_power_adjust_1, 1))
self.connect((self.PWF_pilot_receive_tx_0, 0), (self.PWF_power_adjust_1_0, 1))
self.connect((self.PWF_pilot_receive_tx_0_0, 0), (self.PWF_power_adjust_1_0, 0))
self.connect((self.PWF_power_adjust_1, 1), (self.PWF_pilot_gen_rx_0, 0))
self.connect((self.PWF_power_adjust_1, 0), (self.PWF_pilot_gen_rx_0_0, 0))
self.connect((self.PWF_power_adjust_1_0, 0), (self.blocks_streams_to_vector_0_0, 0))
self.connect((self.PWF_power_adjust_1_0, 1), (self.blocks_streams_to_vector_0_0, 1))
self.connect((self.PWF_sigmagen_0, 0), (self.blocks_streams_to_vector_0, 0))
self.connect((self.PWF_sigmagen_0, 1), (self.blocks_streams_to_vector_0, 1))
self.connect((self.PWF_weighted_sum_rate_0, 0), (self.blocks_repeat_0, 0))
self.connect((self.PWF_weighted_sum_rate_0, 1), (self.blocks_repeat_0_0, 0))
self.connect((self.blocks_repeat_0, 0), (self.qtgui_time_sink_x_0, 0))
self.connect((self.blocks_repeat_0_0, 0), (self.qtgui_time_sink_x_0, 1))
self.connect((self.blocks_streams_to_vector_0, 0), (self.blocks_udp_sink_1, 0))
self.connect((self.blocks_streams_to_vector_0_0, 0), (self.blocks_udp_sink_1_0, 0))
self.connect((self.blocks_streams_to_vector_1, 0), (self.PWF_channel_0, 0))
self.connect((self.blocks_streams_to_vector_1_0, 0), (self.PWF_channel_0, 1))
self.connect((self.blocks_streams_to_vector_1_0_0, 0), (self.PWF_channel_1, 1))
self.connect((self.blocks_streams_to_vector_1_1, 0), (self.PWF_pilot_receive_rx_0, 0))
self.connect((self.blocks_streams_to_vector_1_1_0, 0), (self.PWF_pilot_receive_rx_0_0, 0))
self.connect((self.blocks_streams_to_vector_1_1_0_0, 0), (self.PWF_pilot_receive_tx_0, 0))
self.connect((self.blocks_streams_to_vector_1_1_1, 0), (self.PWF_pilot_receive_tx_0_0, 0))
self.connect((self.blocks_streams_to_vector_1_2, 0), (self.PWF_channel_1, 0))
self.connect((self.blocks_udp_source_1, 0), (self.blocks_file_sink_0, 0))
self.connect((self.blocks_udp_source_1, 0), (self.blocks_vector_to_streams_0, 0))
self.connect((self.blocks_vector_to_streams_0, 0), (self.PWF_debug_printmsg_0, 0))
self.connect((self.blocks_vector_to_streams_0, 1), (self.PWF_debug_printmsg_0, 1))
self.connect((self.blocks_vector_to_streams_0, 0), (self.PWF_weighted_sum_rate_0, 0))
self.connect((self.blocks_vector_to_streams_0, 1), (self.PWF_weighted_sum_rate_0, 1))
self.connect((self.blocks_vector_to_streams_1, 0), (self.interp_fir_filter_xxx_0, 0))
self.connect((self.blocks_vector_to_streams_1, 1), (self.interp_fir_filter_xxx_0_1, 0))
self.connect((self.blocks_vector_to_streams_1_0, 0), (self.interp_fir_filter_xxx_0_0, 0))
self.connect((self.blocks_vector_to_streams_1_0, 1), (self.interp_fir_filter_xxx_0_1_0, 0))
self.connect((self.blocks_vector_to_streams_1_0_0, 0), (self.blocks_streams_to_vector_1_0_0, 0))
self.connect((self.blocks_vector_to_streams_1_0_0, 1), (self.blocks_streams_to_vector_1_0_0, 1))
self.connect((self.blocks_vector_to_streams_1_1, 0), (self.fir_filter_xxx_0, 0))
self.connect((self.blocks_vector_to_streams_1_1, 1), (self.fir_filter_xxx_0_0, 0))
self.connect((self.blocks_vector_to_streams_1_1_0, 1), (self.fir_filter_xxx_0_0_0, 0))
self.connect((self.blocks_vector_to_streams_1_1_0, 0), (self.fir_filter_xxx_0_1, 0))
self.connect((self.blocks_vector_to_streams_1_1_0_0, 1), (self.phase_corrector_0_0_0_0, 0))
self.connect((self.blocks_vector_to_streams_1_1_0_0, 0), (self.phase_corrector_0_1_0, 0))
self.connect((self.blocks_vector_to_streams_1_1_1, 1), (self.phase_corrector_0_0_1, 0))
self.connect((self.blocks_vector_to_streams_1_1_1, 0), (self.phase_corrector_0_2, 0))
self.connect((self.blocks_vector_to_streams_1_2, 1), (self.blocks_streams_to_vector_1_2, 1))
self.connect((self.blocks_vector_to_streams_1_2, 0), (self.blocks_streams_to_vector_1_2, 0))
self.connect((self.fir_filter_xxx_0, 0), (self.phase_corrector_0, 0))
self.connect((self.fir_filter_xxx_0_0, 0), (self.phase_corrector_0_0, 0))
self.connect((self.fir_filter_xxx_0_0_0, 0), (self.phase_corrector_0_0_0, 0))
self.connect((self.fir_filter_xxx_0_1, 0), (self.phase_corrector_0_1, 0))
self.connect((self.interp_fir_filter_xxx_0, 0), (self.blocks_streams_to_vector_1, 0))
self.connect((self.interp_fir_filter_xxx_0_0, 0), (self.blocks_streams_to_vector_1_0, 0))
self.connect((self.interp_fir_filter_xxx_0_1, 0), (self.blocks_streams_to_vector_1, 1))
self.connect((self.interp_fir_filter_xxx_0_1_0, 0), (self.blocks_streams_to_vector_1_0, 1))
self.connect((self.phase_corrector_0, 0), (self.blocks_streams_to_vector_1_1, 0))
self.connect((self.phase_corrector_0_0, 0), (self.blocks_streams_to_vector_1_1, 1))
self.connect((self.phase_corrector_0_0_0, 0), (self.blocks_streams_to_vector_1_1_0, 1))
self.connect((self.phase_corrector_0_0_0_0, 0), (self.blocks_streams_to_vector_1_1_0_0, 1))
self.connect((self.phase_corrector_0_0_1, 0), (self.blocks_streams_to_vector_1_1_1, 1))
self.connect((self.phase_corrector_0_1, 0), (self.blocks_streams_to_vector_1_1_0, 0))
self.connect((self.phase_corrector_0_1_0, 0), (self.blocks_streams_to_vector_1_1_0_0, 0))
self.connect((self.phase_corrector_0_2, 0), (self.blocks_streams_to_vector_1_1_1, 0))
def __init__(self, mpoints, taps=None):
"""
Takes M complex streams in, produces single complex stream out
that runs at M times the input sample rate
Args:
mpoints: number of freq bins/interpolation factor/subbands
taps: filter taps for subband filter
The channel spacing is equal to the input sample rate.
The total bandwidth and output sample rate are equal the input
sample rate * nchannels.
Output stream to frequency mapping:
channel zero is at zero frequency.
if mpoints is odd:
Channels with increasing positive frequencies come from
channels 1 through (N-1)/2.
Channel (N+1)/2 is the maximum negative frequency, and
frequency increases through N-1 which is one channel lower
than the zero frequency.
if mpoints is even:
Channels with increasing positive frequencies come from
channels 1 through (N/2)-1.
Channel (N/2) is evenly split between the max positive and
negative bins.
Channel (N/2)+1 is the maximum negative frequency, and
frequency increases through N-1 which is one channel lower
than the zero frequency.
Channels near the frequency extremes end up getting cut
off by subsequent filters and therefore have diminished
utility.
"""
item_size = gr.sizeof_gr_complex
gr.hier_block2.__init__(self, "synthesis_filterbank",
gr.io_signature(mpoints, mpoints, item_size), # Input signature
gr.io_signature(1, 1, item_size)) # Output signature
if taps is None:
taps = _generate_synthesis_taps(mpoints)
# pad taps to multiple of mpoints
r = len(taps) % mpoints
if r != 0:
taps = taps + (mpoints - r) * (0,)
# split in mpoints separate set of taps
sub_taps = _split_taps(taps, mpoints)
self.ss2v = blocks.streams_to_vector(item_size, mpoints)
self.ifft = fft.fft_vcc(mpoints, False, [])
self.v2ss = blocks.vector_to_streams(item_size, mpoints)
# mpoints filters go in here...
self.ss2s = blocks.streams_to_stream(item_size, mpoints)
for i in range(mpoints):
self.connect((self, i), (self.ss2v, i))
self.connect(self.ss2v, self.ifft, self.v2ss)
# build mpoints fir filters...
for i in range(mpoints):
f = fft_filter_ccc(1, sub_taps[i])
self.connect((self.v2ss, i), f)
self.connect(f, (self.ss2s, i))
self.connect(self.ss2s, self)
def __init__(self):
parser = ArgumentParser()
parser.add_argument("-i",
"--ifile",
dest="ifilename",
help="read from FILE",
metavar="FILE",
required=True)
parser.add_argument("-o",
"--ofile",
dest="ofilename",
help="write to FILE",
metavar="FILE",
required=True)
args = parser.parse_args()
print("Reading from file {}".format(args.ifilename))
print("Writing to file {}".format(args.ofilename))
gr.top_block.__init__(self, "Not titled yet")
Qt.QWidget.__init__(self)
self.setWindowTitle("Not titled yet")
qtgui.util.check_set_qss()
try:
self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc'))
except:
pass
self.top_scroll_layout = Qt.QVBoxLayout()
self.setLayout(self.top_scroll_layout)
self.top_scroll = Qt.QScrollArea()
self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame)
self.top_scroll_layout.addWidget(self.top_scroll)
self.top_scroll.setWidgetResizable(True)
self.top_widget = Qt.QWidget()
self.top_scroll.setWidget(self.top_widget)
self.top_layout = Qt.QVBoxLayout(self.top_widget)
self.top_grid_layout = Qt.QGridLayout()
self.top_layout.addLayout(self.top_grid_layout)
self.settings = Qt.QSettings("GNU Radio", "somfy_receiver")
try:
if StrictVersion(Qt.qVersion()) < StrictVersion("5.0.0"):
self.restoreGeometry(
self.settings.value("geometry").toByteArray())
else:
self.restoreGeometry(self.settings.value("geometry"))
except:
pass
##################################################
# Variables
##################################################
self.zeta = zeta = 1.0
self.ted_gain = ted_gain = 1
self.samp_rate = samp_rate = 2.4e6
self.samp_per_sym = samp_per_sym = 5
self.omega_n_norm = omega_n_norm = 0.045
self.ofile = ofile = args.ofilename
self.ifile = ifile = args.ifilename
self.fmid = fmid = 868.949e6
self.dfctr3 = dfctr3 = 0
self.dfctr2 = dfctr2 = -19.2e3
self.dfctr1 = dfctr1 = 19.2e3
self.baud_rate = baud_rate = 4800 * 4
##################################################
# Blocks
##################################################
self._zeta_range = Range(0.1, 5.0, 0.1, 1.0, 200)
self._zeta_win = RangeWidget(self._zeta_range, self.set_zeta,
'Damping Factor', "counter_slider", float)
self.top_grid_layout.addWidget(self._zeta_win, 0, 0, 1, 2)
for r in range(0, 1):
self.top_grid_layout.setRowStretch(r, 1)
for c in range(0, 2):
self.top_grid_layout.setColumnStretch(c, 1)
self._ted_gain_range = Range(0.05, 5.0, 0.01, 1, 200)
self._ted_gain_win = RangeWidget(self._ted_gain_range,
self.set_ted_gain,
'Expected TED Gain', "counter_slider",
float)
self.top_grid_layout.addWidget(self._ted_gain_win, 2, 0, 1, 2)
for r in range(2, 3):
self.top_grid_layout.setRowStretch(r, 1)
for c in range(0, 2):
self.top_grid_layout.setColumnStretch(c, 1)
self._omega_n_norm_range = Range(0.0, 2.0 * math.pi * 0.25, 0.001,
0.045, 200)
self._omega_n_norm_win = RangeWidget(self._omega_n_norm_range,
self.set_omega_n_norm,
'Normalized Bandwidth',
"counter_slider", float)
self.top_grid_layout.addWidget(self._omega_n_norm_win, 1, 0, 1, 2)
for r in range(1, 2):
self.top_grid_layout.setRowStretch(r, 1)
for c in range(0, 2):
self.top_grid_layout.setColumnStretch(c, 1)
self.qtgui_time_sink_x_0_0_0_0_0 = qtgui.time_sink_f(
256, #size
baud_rate, #samp_rate
'Symbol Synced Output and Debug', #name
4 #number of inputs
)
self.qtgui_time_sink_x_0_0_0_0_0.set_update_time(0.1)
self.qtgui_time_sink_x_0_0_0_0_0.set_y_axis(-1.5, samp_per_sym + 2)
self.qtgui_time_sink_x_0_0_0_0_0.set_y_label('Amplitude', "")
self.qtgui_time_sink_x_0_0_0_0_0.enable_tags(True)
self.qtgui_time_sink_x_0_0_0_0_0.set_trigger_mode(
qtgui.TRIG_MODE_NORM, qtgui.TRIG_SLOPE_POS, 0.1, 0.01, 0,
"time_est")
self.qtgui_time_sink_x_0_0_0_0_0.enable_autoscale(False)
self.qtgui_time_sink_x_0_0_0_0_0.enable_grid(False)
self.qtgui_time_sink_x_0_0_0_0_0.enable_axis_labels(True)
self.qtgui_time_sink_x_0_0_0_0_0.enable_control_panel(False)
self.qtgui_time_sink_x_0_0_0_0_0.enable_stem_plot(False)
labels = [
'Soft Bits', 'Error', 'Instantaneous Period', 'Average Period', '',
'', '', '', '', ''
]
widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
colors = [
'blue', 'red', 'green', 'black', 'cyan', 'magenta', 'yellow',
'dark red', 'dark green', 'dark blue'
]
alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
styles = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
markers = [0, -1, -1, -1, -1, -1, -1, -1, -1, -1]
for i in range(4):
if len(labels[i]) == 0:
self.qtgui_time_sink_x_0_0_0_0_0.set_line_label(
i, "Data {0}".format(i))
else:
self.qtgui_time_sink_x_0_0_0_0_0.set_line_label(i, labels[i])
self.qtgui_time_sink_x_0_0_0_0_0.set_line_width(i, widths[i])
self.qtgui_time_sink_x_0_0_0_0_0.set_line_color(i, colors[i])
self.qtgui_time_sink_x_0_0_0_0_0.set_line_style(i, styles[i])
self.qtgui_time_sink_x_0_0_0_0_0.set_line_marker(i, markers[i])
self.qtgui_time_sink_x_0_0_0_0_0.set_line_alpha(i, alphas[i])
self._qtgui_time_sink_x_0_0_0_0_0_win = sip.wrapinstance(
self.qtgui_time_sink_x_0_0_0_0_0.pyqwidget(), Qt.QWidget)
self.top_grid_layout.addWidget(self._qtgui_time_sink_x_0_0_0_0_0_win,
3, 1, 1, 2)
for r in range(3, 4):
self.top_grid_layout.setRowStretch(r, 1)
for c in range(1, 3):
self.top_grid_layout.setColumnStretch(c, 1)
self.qtgui_freq_sink_x_1 = qtgui.freq_sink_c(
1024, #size
firdes.WIN_BLACKMAN_hARRIS, #wintype
0, #fc
samp_rate, #bw
"", #name
3)
self.qtgui_freq_sink_x_1.set_update_time(0.10)
self.qtgui_freq_sink_x_1.set_y_axis(-140, 10)
self.qtgui_freq_sink_x_1.set_y_label('Relative Gain', 'dB')
self.qtgui_freq_sink_x_1.set_trigger_mode(qtgui.TRIG_MODE_FREE, 0.0, 0,
"")
self.qtgui_freq_sink_x_1.enable_autoscale(False)
self.qtgui_freq_sink_x_1.enable_grid(False)
self.qtgui_freq_sink_x_1.set_fft_average(1.0)
self.qtgui_freq_sink_x_1.enable_axis_labels(True)
self.qtgui_freq_sink_x_1.enable_control_panel(False)
labels = ['', '', '', '', '', '', '', '', '', '']
widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
colors = [
"blue", "red", "green", "black", "cyan", "magenta", "yellow",
"dark red", "dark green", "dark blue"
]
alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
for i in range(3):
if len(labels[i]) == 0:
self.qtgui_freq_sink_x_1.set_line_label(
i, "Data {0}".format(i))
else:
self.qtgui_freq_sink_x_1.set_line_label(i, labels[i])
self.qtgui_freq_sink_x_1.set_line_width(i, widths[i])
self.qtgui_freq_sink_x_1.set_line_color(i, colors[i])
self.qtgui_freq_sink_x_1.set_line_alpha(i, alphas[i])
self._qtgui_freq_sink_x_1_win = sip.wrapinstance(
self.qtgui_freq_sink_x_1.pyqwidget(), Qt.QWidget)
self.top_grid_layout.addWidget(self._qtgui_freq_sink_x_1_win, 3, 0, 1,
1)
for r in range(3, 4):
self.top_grid_layout.setRowStretch(r, 1)
for c in range(0, 1):
self.top_grid_layout.setColumnStretch(c, 1)
self.fir_filter_xxx_0_1_0_0_0_0_0 = filter.fir_filter_fff(
1, [1.0 / float(samp_per_sym)] * samp_per_sym)
self.fir_filter_xxx_0_1_0_0_0_0_0.declare_sample_delay(
int((samp_per_sym - 1.0) / 2.0) + 4)
self.fir_filter_xxx_0_1_0_0_0_0 = filter.fir_filter_fff(
1, [1.0 / float(samp_per_sym)] * samp_per_sym)
self.fir_filter_xxx_0_1_0_0_0_0.declare_sample_delay(
int((samp_per_sym - 1.0) / 2.0) + 4)
self.fir_filter_xxx_0_1_0_0_0 = filter.fir_filter_fff(
1, [1.0 / float(samp_per_sym)] * samp_per_sym)
self.fir_filter_xxx_0_1_0_0_0.declare_sample_delay(
int((samp_per_sym - 1.0) / 2.0) + 4)
self.extract_payload_0_0_0 = extract_payload.extract_payload(
(1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1), 40 * 8,
40 * 8)
self.extract_payload_0_0 = extract_payload.extract_payload(
(1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1), 40 * 8,
40 * 8)
self.extract_payload_0 = extract_payload.extract_payload(
(1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1), 40 * 8,
40 * 8)
self.digital_symbol_sync_xx_0_0_0_0 = digital.symbol_sync_ff(
digital.TED_GARDNER, samp_per_sym, omega_n_norm, zeta, ted_gain,
1.5, 1,
digital.constellation_bpsk().base(), digital.IR_MMSE_8TAP, 128, [])
self.digital_symbol_sync_xx_0_0_0 = digital.symbol_sync_ff(
digital.TED_GARDNER, samp_per_sym, omega_n_norm, zeta, ted_gain,
1.5, 1,
digital.constellation_bpsk().base(), digital.IR_MMSE_8TAP, 128, [])
self.digital_symbol_sync_xx_0_0 = digital.symbol_sync_ff(
digital.TED_GARDNER, samp_per_sym, omega_n_norm, zeta, ted_gain,
1.5, 1,
digital.constellation_bpsk().base(), digital.IR_MMSE_8TAP, 128, [])
self.blocks_throttle_0 = blocks.throttle(gr.sizeof_gr_complex * 1,
samp_rate, True)
self.blocks_threshold_ff_0_0_0 = blocks.threshold_ff(-0.2, 0.2, 0)
self.blocks_threshold_ff_0_0 = blocks.threshold_ff(-0.2, 0.2, 0)
self.blocks_threshold_ff_0 = blocks.threshold_ff(-0.2, 0.2, 0)
self.blocks_streams_to_vector_0_0 = blocks.streams_to_vector(
gr.sizeof_char * 1, 3)
self.blocks_repack_bits_bb_0_0_0 = blocks.repack_bits_bb(
1, 8, "", False, gr.GR_MSB_FIRST)
self.blocks_repack_bits_bb_0_0 = blocks.repack_bits_bb(
1, 8, "", False, gr.GR_MSB_FIRST)
self.blocks_repack_bits_bb_0 = blocks.repack_bits_bb(
1, 8, "", False, gr.GR_MSB_FIRST)
self.blocks_float_to_char_0_0_0 = blocks.float_to_char(1, 1)
self.blocks_float_to_char_0_0 = blocks.float_to_char(1, 1)
self.blocks_float_to_char_0 = blocks.float_to_char(1, 1)
self.blocks_file_source_0 = blocks.file_source(
gr.sizeof_gr_complex * 1, ifile, False, 0, 0)
self.blocks_file_source_0.set_begin_tag(pmt.PMT_NIL)
self.blocks_file_sink_0_0_0_0_0_1_0 = blocks.file_sink(
gr.sizeof_char * 1, ofile + "_chn2.bin", False)
self.blocks_file_sink_0_0_0_0_0_1_0.set_unbuffered(True)
self.blocks_file_sink_0_0_0_0_0_1 = blocks.file_sink(
gr.sizeof_char * 1, ofile + "_chn3.bin", False)
self.blocks_file_sink_0_0_0_0_0_1.set_unbuffered(True)
self.blocks_file_sink_0_0_0_0_0 = blocks.file_sink(
gr.sizeof_char * 1, ofile + "_chn1.bin", False)
self.blocks_file_sink_0_0_0_0_0.set_unbuffered(True)
self.blocks_file_sink_0_0 = blocks.file_sink(
gr.sizeof_float * 3,
'/Users/kesenheimer/Documents/Basteln/SDR/gnuRadio_projects/Somfy/io_homecontrol_96k_sliced.raw',
False)
self.blocks_file_sink_0_0.set_unbuffered(False)
self.blocks_char_to_float_0 = blocks.char_to_float(3, 1)
self.OOK_demodulator_improved_0_1 = OOK_demodulator_improved(
fbaud=baud_rate,
freq=dfctr2,
offset=0.5,
re_samp_rate=96000,
samp_rate=samp_rate,
)
self.OOK_demodulator_improved_0_0 = OOK_demodulator_improved(
fbaud=baud_rate,
freq=dfctr3,
offset=-0.01,
re_samp_rate=96000,
samp_rate=samp_rate,
)
self.OOK_demodulator_improved_0 = OOK_demodulator_improved(
fbaud=baud_rate,
freq=dfctr1,
offset=-0.5,
re_samp_rate=96000,
samp_rate=samp_rate,
)
##################################################
# Connections
##################################################
self.connect((self.OOK_demodulator_improved_0, 1),
(self.blocks_streams_to_vector_0_0, 0))
self.connect((self.OOK_demodulator_improved_0, 0),
(self.fir_filter_xxx_0_1_0_0_0, 0))
self.connect((self.OOK_demodulator_improved_0, 2),
(self.qtgui_freq_sink_x_1, 0))
self.connect((self.OOK_demodulator_improved_0_0, 1),
(self.blocks_streams_to_vector_0_0, 1))
self.connect((self.OOK_demodulator_improved_0_0, 0),
(self.fir_filter_xxx_0_1_0_0_0_0, 0))
self.connect((self.OOK_demodulator_improved_0_0, 2),
(self.qtgui_freq_sink_x_1, 1))
self.connect((self.OOK_demodulator_improved_0_1, 1),
(self.blocks_streams_to_vector_0_0, 2))
self.connect((self.OOK_demodulator_improved_0_1, 0),
(self.fir_filter_xxx_0_1_0_0_0_0_0, 0))
self.connect((self.OOK_demodulator_improved_0_1, 2),
(self.qtgui_freq_sink_x_1, 2))
self.connect((self.blocks_char_to_float_0, 0),
(self.blocks_file_sink_0_0, 0))
self.connect((self.blocks_file_source_0, 0),
(self.blocks_throttle_0, 0))
self.connect((self.blocks_float_to_char_0, 0),
(self.extract_payload_0, 0))
self.connect((self.blocks_float_to_char_0_0, 0),
(self.extract_payload_0_0, 0))
self.connect((self.blocks_float_to_char_0_0_0, 0),
(self.extract_payload_0_0_0, 0))
self.connect((self.blocks_repack_bits_bb_0, 0),
(self.blocks_file_sink_0_0_0_0_0, 0))
self.connect((self.blocks_repack_bits_bb_0_0, 0),
(self.blocks_file_sink_0_0_0_0_0_1, 0))
self.connect((self.blocks_repack_bits_bb_0_0_0, 0),
(self.blocks_file_sink_0_0_0_0_0_1_0, 0))
self.connect((self.blocks_streams_to_vector_0_0, 0),
(self.blocks_char_to_float_0, 0))
self.connect((self.blocks_threshold_ff_0, 0),
(self.blocks_float_to_char_0, 0))
self.connect((self.blocks_threshold_ff_0_0, 0),
(self.blocks_float_to_char_0_0, 0))
self.connect((self.blocks_threshold_ff_0_0_0, 0),
(self.blocks_float_to_char_0_0_0, 0))
self.connect((self.blocks_throttle_0, 0),
(self.OOK_demodulator_improved_0, 0))
self.connect((self.blocks_throttle_0, 0),
(self.OOK_demodulator_improved_0_0, 0))
self.connect((self.blocks_throttle_0, 0),
(self.OOK_demodulator_improved_0_1, 0))
self.connect((self.digital_symbol_sync_xx_0_0, 0),
(self.blocks_threshold_ff_0, 0))
self.connect((self.digital_symbol_sync_xx_0_0, 1),
(self.qtgui_time_sink_x_0_0_0_0_0, 1))
self.connect((self.digital_symbol_sync_xx_0_0, 2),
(self.qtgui_time_sink_x_0_0_0_0_0, 2))
self.connect((self.digital_symbol_sync_xx_0_0, 0),
(self.qtgui_time_sink_x_0_0_0_0_0, 0))
self.connect((self.digital_symbol_sync_xx_0_0, 3),
(self.qtgui_time_sink_x_0_0_0_0_0, 3))
self.connect((self.digital_symbol_sync_xx_0_0_0, 0),
(self.blocks_threshold_ff_0_0, 0))
self.connect((self.digital_symbol_sync_xx_0_0_0_0, 0),
(self.blocks_threshold_ff_0_0_0, 0))
self.connect((self.extract_payload_0, 0),
(self.blocks_repack_bits_bb_0, 0))
self.connect((self.extract_payload_0_0, 0),
(self.blocks_repack_bits_bb_0_0, 0))
self.connect((self.extract_payload_0_0_0, 0),
(self.blocks_repack_bits_bb_0_0_0, 0))
self.connect((self.fir_filter_xxx_0_1_0_0_0, 0),
(self.digital_symbol_sync_xx_0_0, 0))
self.connect((self.fir_filter_xxx_0_1_0_0_0_0, 0),
(self.digital_symbol_sync_xx_0_0_0, 0))
self.connect((self.fir_filter_xxx_0_1_0_0_0_0_0, 0),
(self.digital_symbol_sync_xx_0_0_0_0, 0))