def __init__(self,
input_rate,
output_rate=12000,
output_frequency=1500,
transition_width=100,
width=800):
"""Make a new WSPRFilter.
input_rate: the incomming sample rate
output_rate: output sample rate
output_frequency: 0Hz in the complex input will be centered on this
frequency in the real output
width, transition_width: passband and transition band widths.
"""
gr.hier_block2.__init__(self,
type(self).__name__,
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(1, 1, gr.sizeof_float))
self.connect(
self,
MultistageChannelFilter(input_rate=input_rate,
output_rate=output_rate,
cutoff_freq=width / 2,
transition_width=transition_width),
blocks.rotator_cc(2 * pi * output_frequency / output_rate),
blocks.complex_to_real(vlen=1),
analog.agc2_ff(reference=dB(-10),
attack_rate=8e-1,
decay_rate=8e-1), self)
def __init__(self,
demod_rate=0,
audio_rate=0,
band_filter=None,
band_filter_transition=None,
stereo=False,
**kwargs):
assert audio_rate > 0
self.__signal_type = SignalType(kind='STEREO' if stereo else 'MONO',
sample_rate=audio_rate)
Demodulator.__init__(self, **kwargs)
SquelchMixin.__init__(self, demod_rate)
self.demod_rate = demod_rate
self.audio_rate = audio_rate
input_rate = self.input_rate
self.band_filter_block = MultistageChannelFilter(
input_rate=input_rate,
output_rate=demod_rate,
cutoff_freq=band_filter,
transition_width=band_filter_transition)
def test_odd_interpolating(self):
"""Output rate higher than input rate and not a multiple"""
# TODO: Test filter functionality more
f = MultistageChannelFilter(input_rate=8000, output_rate=21234, cutoff_freq=8000, transition_width=5000)
self.__run(f, 4000, 21234 / 8000, """\
2 stages from 8000 to 21234
freq xlation only using 1 taps (8000) in freq_xlating_fir_filter_ccc_sptr
rational_resampler by 10617/4000 (stage rates 21234/8000) using 350361 taps (7439565474) in rational_resampler_base_ccf_sptr""")
def test_interpolating(self):
"""Output rate higher than input rate"""
# TODO: Test filter functionality more
f = MultistageChannelFilter(input_rate=8000, output_rate=20000, cutoff_freq=8000, transition_width=5000)
self.__run(f, 4000, 20000 / 8000, """\
2 stages from 8000 to 20000
freq xlation only using 1 taps (8000) in freq_xlating_fir_filter_ccc_sptr
rational_resampler by 5/2 (stage rates 20000/8000) using 165 taps (3300000) in rational_resampler_base_ccf_sptr""")
def test_explain(self):
# this test was written before __run checke everything; kept around for just another example
f = MultistageChannelFilter(input_rate=10000, output_rate=1000, cutoff_freq=500, transition_width=100)
self.assertEqual(f.explain(), textwrap.dedent("""\
2 stages from 10000 to 1000
freq xlate and decimate by 5 using 43 taps (86000) in freq_xlating_fir_filter_ccc_sptr
final filter and decimate by 2 using 49 taps (49000) in fft_filter_ccc_sptr
No final resampler stage."""))
def test_center_freq_interpolating(self):
f = MultistageChannelFilter(input_rate=1000,
output_rate=10000,
cutoff_freq=400,
transition_width=200,
center_freq=1)
self.assertEqual(f.get_center_freq(), 1)
f.set_center_freq(2)
self.assertEqual(f.get_center_freq(), 2)
def __init__(self, mode='MODE-S', input_rate=0, context=None):
assert input_rate > 0
gr.hier_block2.__init__(
self,
type(self).__name__, gr.io_signature(1, 1,
gr.sizeof_gr_complex * 1),
gr.io_signature(0, 0, 0))
demod_rate = 2000000
transition_width = 500000
hex_msg_queue = gr.msg_queue(100)
self.__band_filter = MultistageChannelFilter(
input_rate=input_rate,
output_rate=demod_rate,
cutoff_freq=demod_rate / 2,
transition_width=transition_width) # TODO optimize filter band
self.__demod = air_modes.rx_path(
rate=demod_rate,
threshold=7.0, # default used in air-modes code but not exposed
queue=hex_msg_queue,
use_pmf=False,
use_dcblock=True)
self.connect(self, self.__band_filter, self.__demod)
self.__messages_seen = 0
self.__message_rate_calc = LazyRateCalculator(
lambda: self.__messages_seen, min_interval=2)
# Parsing
# TODO: These bits are mimicking gr-air-modes toplevel code. Figure out if we can have less glue.
# Note: gr pubsub is synchronous -- subscribers are called on the publisher's thread
parser_output = gr.pubsub.pubsub()
parser = air_modes.make_parser(parser_output)
cpr_decoder = air_modes.cpr_decoder(
my_location=None) # TODO: get position info from device
air_modes.output_print(cpr_decoder, parser_output)
def msq_runner_callback(msg): # called on msgq_runner's thread
# pylint: disable=broad-except
try:
reactor.callFromThread(parser, msg.to_string())
except Exception:
print(traceback.format_exc())
self.__msgq_runner = gru.msgq_runner(hex_msg_queue,
msq_runner_callback)
def parsed_callback(msg):
timestamp = time.time()
self.__messages_seen += 1
context.output_message(
ModeSMessageWrapper(msg, cpr_decoder, timestamp))
for i in six.moves.range(0, 2**5):
parser_output.subscribe('type%i_dl' % i, parsed_callback)
def __make_channel_filter(self):
'''Return the channel filter.
rtty_demod_cb includes filters, so here we just need a broad, cheap filter to
decimate.
'''
return MultistageChannelFilter(input_rate=self.__input_rate,
output_rate=self.__demod_rate,
cutoff_freq=self.__spacing * 5,
transition_width=self.__spacing * 5)
def __make_channel_filter(self):
'''Return the channel filter.
psk31_demodulator_cbc includes filters, so this filter will be wide to
assure the passband has no group delay and make it easier to listen to.
Output has frequencies from -250 to +250.
'''
return MultistageChannelFilter(input_rate=self.__input_rate,
output_rate=self.__demod_rate,
cutoff_freq=250 - 25,
transition_width=25)
def test_float_rates(self):
# Either float or int rates should be accepted
f = MultistageChannelFilter(input_rate=32000000.0, output_rate=16000.0, cutoff_freq=3000, transition_width=1200)
self.__run(f, 400000, 16000 / 32000000, """\
7 stages from 32000000 to 16000
freq xlate and decimate by 5 using 25 taps (160000000) in freq_xlating_fir_filter_ccc_sptr
decimate by 5 using 25 taps (32000000) in fft_filter_ccc_sptr
decimate by 5 using 25 taps (6400000) in fft_filter_ccc_sptr
decimate by 2 using 11 taps (1408000) in fft_filter_ccc_sptr
decimate by 2 using 11 taps (704000) in fft_filter_ccc_sptr
decimate by 2 using 11 taps (352000) in fft_filter_ccc_sptr
final filter and decimate by 2 using 65 taps (1040000) in fft_filter_ccc_sptr
No final resampler stage.""")
def test_basic(self):
# TODO: Test filter functionality more
f = MultistageChannelFilter(input_rate=32000000, output_rate=16000, cutoff_freq=3000, transition_width=1200)
self.__run(f, 400000, 16000 / 32000000, """\
7 stages from 32000000 to 16000
freq xlate and decimate by 5 using 25 taps (160000000) in freq_xlating_fir_filter_ccc_sptr
decimate by 5 using 25 taps (32000000) in fft_filter_ccc_sptr
decimate by 5 using 25 taps (6400000) in fft_filter_ccc_sptr
decimate by 2 using 11 taps (1408000) in fft_filter_ccc_sptr
decimate by 2 using 11 taps (704000) in fft_filter_ccc_sptr
decimate by 2 using 11 taps (352000) in fft_filter_ccc_sptr
final filter and decimate by 2 using 65 taps (1040000) in fft_filter_ccc_sptr
No final resampler stage.""")
def test_decimating(self):
"""Sample problematic decimation case"""
# TODO: Test filter functionality more
f = MultistageChannelFilter(input_rate=8000000, output_rate=48000, cutoff_freq=10000, transition_width=5000)
self.__run(f, 400000, 48000 / 8000000, """\
8 stages from 8000000 to 48000
freq xlate and decimate by 2 using 9 taps (36000000) in freq_xlating_fir_filter_ccc_sptr
decimate by 2 using 9 taps (18000000) in fir_filter_ccc_sptr
decimate by 2 using 9 taps (9000000) in fir_filter_ccc_sptr
decimate by 2 using 9 taps (4500000) in fir_filter_ccc_sptr
decimate by 2 using 11 taps (2750000) in fft_filter_ccc_sptr
decimate by 2 using 11 taps (1375000) in fft_filter_ccc_sptr
final filter and decimate by 2 using 61 taps (3812500) in fft_filter_ccc_sptr
rational_resampler by 96/125 (stage rates 48000/62500) using 4128 taps (198144000) in rational_resampler_base_ccf_sptr""")
def __init__(self,
input_rate=0,
demod_rate=0,
cutoff_freq=0,
transition_width=0):
# mandatory keyword arguments
assert input_rate > 0
assert demod_rate > 0
assert cutoff_freq > 0
assert transition_width > 0
self.channel_filter_block = MultistageChannelFilter(
input_rate=input_rate,
output_rate=demod_rate,
cutoff_freq=cutoff_freq,
transition_width=transition_width)
def __init__(self, mode,
input_rate=0,
context=None):
assert input_rate > 0
gr.hier_block2.__init__(
self, 'RTTY demodulator',
gr.io_signature(1, 1, gr.sizeof_gr_complex * 1),
gr.io_signature(1, 1, gr.sizeof_float * 1),
)
self.__text = u''
baud = _DEFAULT_BAUD # TODO param
self.baud = baud
demod_rate = 6000 # TODO optimize this value
self.samp_rate = demod_rate # TODO rename
self.__channel_filter = MultistageChannelFilter(
input_rate=input_rate,
output_rate=demod_rate,
cutoff_freq=self.__filter_high,
transition_width=self.__transition) # TODO optimize filter band
self.__sharp_filter = grfilter.fir_filter_ccc(
1,
firdes.complex_band_pass(1.0, demod_rate,
self.__filter_low,
self.__filter_high,
self.__transition,
firdes.WIN_HAMMING))
self.fsk_demod = RTTYFSKDemodulator(input_rate=demod_rate, baud=baud)
self.__real = blocks.complex_to_real(vlen=1)
self.__char_queue = gr.msg_queue(limit=100)
self.char_sink = blocks.message_sink(gr.sizeof_char, self.__char_queue, True)
self.connect(
self,
self.__channel_filter,
self.__sharp_filter,
self.fsk_demod,
rtty.rtty_decode_ff(rate=demod_rate, baud=baud, polarity=False),
self.char_sink)
self.connect(
self.__sharp_filter,
self.__real,
self)
def test_setters(self):
# TODO: Test filter functionality; this only tests that the operations work
filt = MultistageChannelFilter(input_rate=32000000, output_rate=16000, cutoff_freq=3000, transition_width=1200)
filt.set_cutoff_freq(2900)
filt.set_transition_width(1000)
filt.set_center_freq(10000)
self.assertEqual(2900, filt.get_cutoff_freq())
self.assertEqual(1000, filt.get_transition_width())
self.assertEqual(10000, filt.get_center_freq())
self.assertEqual(filt.explain(), textwrap.dedent("""\
7 stages from 32000000 to 16000
freq xlate and decimate by 5 using 25 taps (160000000) in freq_xlating_fir_filter_ccc_sptr
decimate by 5 using 25 taps (32000000) in fft_filter_ccc_sptr
decimate by 5 using 25 taps (6400000) in fft_filter_ccc_sptr
decimate by 2 using 11 taps (1408000) in fft_filter_ccc_sptr
decimate by 2 using 11 taps (704000) in fft_filter_ccc_sptr
decimate by 2 using 11 taps (352000) in fft_filter_ccc_sptr
final filter and decimate by 2 using 77 taps (1232000) in fft_filter_ccc_sptr
No final resampler stage."""))
def test_one_filter(**kwargs):
print '------ %s -------' % (kwargs, )
f = MultistageChannelFilter(**kwargs)
size = 10000000
top = gr.top_block()
top.connect(blocks.vector_source_c([5] * size), f,
blocks.null_sink(gr.sizeof_gr_complex))
print f.explain()
t0 = time.clock()
top.start()
top.wait()
top.stop()
t1 = time.clock()
print size, 'samples processed in', t1 - t0, 'CPU-seconds'
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, mode='433', input_rate=0, context=None):
assert input_rate > 0
assert context is not None
gr.hier_block2.__init__(self,
type(self).__name__,
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(0, 0, 0))
# The input bandwidth chosen is not primarily determined by the bandwidth of the input signals, but by the frequency error of the transmitters. Therefore it is not too critical, and we can choose the exact rate to make the filtering easy.
if input_rate <= upper_preferred_demod_rate:
# Skip having a filter at all.
self.__band_filter = None
demod_rate = input_rate
else:
# TODO: This gunk is very similar to the stuff that MultistageChannelFilter does. See if we can share some code.
lower_rate = input_rate
lower_rate_prev = None
while lower_rate > upper_preferred_demod_rate and lower_rate != lower_rate_prev:
lower_rate_prev = lower_rate
if lower_rate % 5 == 0 and lower_rate > upper_preferred_demod_rate * 3:
lower_rate /= 5
elif lower_rate % 2 == 0:
lower_rate /= 2
else:
# non-integer ratio
lower_rate = upper_preferred_demod_rate
break
demod_rate = lower_rate
self.__band_filter = MultistageChannelFilter(
input_rate=input_rate,
output_rate=demod_rate,
cutoff_freq=demod_rate * 0.4,
transition_width=demod_rate * 0.2)
# Subprocess
# using /usr/bin/env because twisted spawnProcess doesn't support path search
# pylint: disable=no-member
process = the_reactor.spawnProcess(
RTL433ProcessProtocol(context.output_message),
'/usr/bin/env',
env=None, # inherit environment
args=[
'env',
'rtl_433',
'-F',
'json',
'-r',
'-', # read from stdin
'-m',
'3', # complex float input
'-s',
str(demod_rate),
],
childFDs={
0: 'w',
1: 'r',
2: 2
})
sink = make_sink_to_process_stdin(process,
itemsize=gr.sizeof_gr_complex)
agc = analog.agc2_cc(reference=dB(-4))
agc.set_attack_rate(200 / demod_rate)
agc.set_decay_rate(200 / demod_rate)
if self.__band_filter:
self.connect(self, self.__band_filter, agc)
else:
self.connect(self, agc)
self.connect(agc, sink)
