def __init__(self, uhd_address, options):
gr.top_block.__init__(self)
self.uhd_addr = uhd_address
self.freq = options.freq
self.samp_rate = options.samp_rate
self.gain = options.gain
self.threshold = options.threshold
self.trigger = options.trigger
self.uhd_src = uhd.single_usrp_source(
device_addr=self.uhd_addr,
io_type=uhd.io_type_t.COMPLEX_FLOAT32,
num_channels=1,
)
self.uhd_src.set_samp_rate(self.samp_rate)
self.uhd_src.set_center_freq(self.freq, 0)
self.uhd_src.set_gain(self.gain, 0)
taps = firdes.low_pass_2(1, 1, 0.4, 0.1, 60)
self.chanfilt = gr.fir_filter_ccc(10, taps)
self.tagger = gr.burst_tagger(gr.sizeof_gr_complex)
# Dummy signaler to collect a burst on known periods
data = 1000*[0,] + 1000*[1,]
self.signal = gr.vector_source_s(data, True)
# Energy detector to get signal burst
## use squelch to detect energy
self.det = gr.simple_squelch_cc(self.threshold, 0.01)
## convert to mag squared (float)
self.c2m = gr.complex_to_mag_squared()
## average to debounce
self.avg = gr.single_pole_iir_filter_ff(0.01)
## rescale signal for conversion to short
self.scale = gr.multiply_const_ff(2**16)
## signal input uses shorts
self.f2s = gr.float_to_short()
# Use file sink burst tagger to capture bursts
self.fsnk = gr.tagged_file_sink(gr.sizeof_gr_complex, self.samp_rate)
##################################################
# Connections
##################################################
self.connect((self.uhd_src, 0), (self.tagger, 0))
self.connect((self.tagger, 0), (self.fsnk, 0))
if self.trigger:
# Connect a dummy signaler to the burst tagger
self.connect((self.signal, 0), (self.tagger, 1))
else:
# Connect an energy detector signaler to the burst tagger
self.connect(self.uhd_src, self.det)
self.connect(self.det, self.c2m, self.avg, self.scale, self.f2s)
self.connect(self.f2s, (self.tagger, 1))
def __init__(self, uhd_address, options):
gr.top_block.__init__(self)
self.uhd_addr = uhd_address
self.freq = options.freq
self.samp_rate = options.samp_rate
self.gain = options.gain
self.threshold = options.threshold
self.trigger = options.trigger
self.uhd_src = uhd.single_usrp_source(
device_addr=self.uhd_addr, stream_args=uhd.stream_args('fc32'))
self.uhd_src.set_samp_rate(self.samp_rate)
self.uhd_src.set_center_freq(self.freq, 0)
self.uhd_src.set_gain(self.gain, 0)
taps = firdes.low_pass_2(1, 1, 0.4, 0.1, 60)
self.chanfilt = gr.fir_filter_ccc(10, taps)
self.tagger = gr.burst_tagger(gr.sizeof_gr_complex)
# Dummy signaler to collect a burst on known periods
data = 1000 * [
0,
] + 1000 * [
1,
]
self.signal = gr.vector_source_s(data, True)
# Energy detector to get signal burst
## use squelch to detect energy
self.det = gr.simple_squelch_cc(self.threshold, 0.01)
## convert to mag squared (float)
self.c2m = gr.complex_to_mag_squared()
## average to debounce
self.avg = gr.single_pole_iir_filter_ff(0.01)
## rescale signal for conversion to short
self.scale = gr.multiply_const_ff(2**16)
## signal input uses shorts
self.f2s = gr.float_to_short()
# Use file sink burst tagger to capture bursts
self.fsnk = gr.tagged_file_sink(gr.sizeof_gr_complex, self.samp_rate)
##################################################
# Connections
##################################################
self.connect((self.uhd_src, 0), (self.tagger, 0))
self.connect((self.tagger, 0), (self.fsnk, 0))
if self.trigger:
# Connect a dummy signaler to the burst tagger
self.connect((self.signal, 0), (self.tagger, 1))
else:
# Connect an energy detector signaler to the burst tagger
self.connect(self.uhd_src, self.det)
self.connect(self.det, self.c2m, self.avg, self.scale, self.f2s)
self.connect(self.f2s, (self.tagger, 1))
def main():
data = scipy.arange(0, 32000, 1).tolist()
trig = 100*[0,] + 100*[1,]
src = gr.vector_source_s(data, True)
trigger = gr.vector_source_s(trig, True)
thr = gr.throttle(gr.sizeof_short, 10e3)
ann = gr.annotator_alltoall(1000000, gr.sizeof_short)
tagger = gr.burst_tagger(gr.sizeof_short)
fsnk = gr.tagged_file_sink(gr.sizeof_short, 1)
tb = gr.top_block()
tb.connect(src, thr, (tagger, 0))
tb.connect(trigger, (tagger, 1))
tb.connect(tagger, fsnk)
tb.run()
def main():
data = scipy.arange(0, 32000, 1).tolist()
trig = 100 * [
0,
] + 100 * [
1,
]
src = gr.vector_source_s(data, True)
trigger = gr.vector_source_s(trig, True)
thr = gr.throttle(gr.sizeof_short, 10e3)
ann = gr.annotator_alltoall(1000000, gr.sizeof_short)
tagger = gr.burst_tagger(gr.sizeof_short)
fsnk = gr.tagged_file_sink(gr.sizeof_short, 1)
tb = gr.top_block()
tb.connect(src, thr, (tagger, 0))
tb.connect(trigger, (tagger, 1))
tb.connect(tagger, fsnk)
tb.run()
def __init__(self, options, msgq_limit=2, pad_for_usrp=True):
"""
Hierarchical block for sending packets
Packets to be sent are enqueued by calling send_pkt.
The output is the complex modulated signal at baseband.
@param options: pass modulation options from higher layers (fft length, occupied tones, etc.)
@param msgq_limit: maximum number of messages in message queue
@type msgq_limit: int
@param pad_for_usrp: If true, packets are padded such that they end up a multiple of 128 samples
"""
gr.hier_block2.__init__(self, "ofdm_mod",
gr.io_signature(0, 0, 0), # Input signature
gr.io_signature(1, 1, gr.sizeof_gr_complex)) # Output signature
self._pad_for_usrp = pad_for_usrp
self._modulation = options.modulation
self._fft_length = options.fft_length
self._occupied_tones = options.occupied_tones
self._cp_length = options.cp_length
# apurv++ start #
self._id = options.id
self._fec_n = options.fec_n
self._fec_k = options.fec_k
self._batch_size = options.batch_size
self._ack = options.ack
if(self._fec_n < self._fec_k):
print "ERROR: K > N in FEC!\n"
exit(0);
# apurv++ end #
win = [] #[1 for i in range(self._fft_length)]
# Use freq domain to get doubled-up known symbol for correlation in time domain
zeros_on_left = int(math.ceil((self._fft_length - self._occupied_tones)/2.0))
# apurv: use the preamble as a function of hop number #
#ksfreq = known_symbols_4512_3[0:self._occupied_tones]
start_index = (options.hop) * self._occupied_tones
ksfreq = known_symbols_4512_3[start_index:start_index + self._occupied_tones]
# allow another full preamble (no intermediate 0s for accurate channel estimate/snr measurement)
preamble2_offset = 10*self._occupied_tones;
ksfreq2 = known_symbols_4512_3[preamble2_offset:preamble2_offset+self._occupied_tones]
'''
# inserting zeros in every other frequency bin #
for i in range(len(ksfreq)):
if((zeros_on_left + i) & 1):
ksfreq[i] = 0
'''
# hard-coded known symbols
preambles = (ksfreq, ksfreq2, ksfreq2)
padded_preambles = list()
for pre in preambles:
padded = self._fft_length*[0,]
padded[zeros_on_left : zeros_on_left + self._occupied_tones] = pre
padded_preambles.append(padded)
symbol_length = options.fft_length + options.cp_length
mods = {"bpsk": 2, "qpsk": 4, "8psk": 8, "qam8": 8, "qam16": 16, "qam64": 64, "qam256": 256}
hdr_rot = 1
hdr_arity = mods["bpsk"]
hdr_constel = psk.psk_constellation(hdr_arity)
hdr_rotated_const = map(lambda pt: pt * hdr_rot, hdr_constel.points())
data_rot = 1
data_arity = mods[self._modulation]
if self._modulation == "qpsk":
data_rot = (0.707+0.707j)
if(self._modulation.find("psk") >= 0):
data_constel = psk.psk_constellation(data_arity)
data_rotated_const = map(lambda pt: pt * data_rot, data_constel.points())
elif(self._modulation.find("qam") >= 0):
data_constel = qam.qam_constellation(data_arity)
data_rotated_const = map(lambda pt: pt * data_rot, data_constel.points())
self._bits_per_symbol = int(math.log(mods[self._modulation], 2)) # just a useless parameter now #
self._pkt_input = digital_swig.ofdm_mapper_bcv(hdr_rotated_const, data_rotated_const,
padded_preambles,msgq_limit,
options.occupied_tones, options.fft_length,
options.tdma, options.proto, options.ack,
options.id, options.src,
options.batch_size,
options.dst_id,
options.fec_n, options.fec_k)
self.ifft = gr.fft_vcc(self._fft_length, False, win, True)
self.cp_adder = digital_swig.ofdm_cyclic_prefixer(self._fft_length, symbol_length)
self.scale = gr.multiply_const_cc(1.0 / math.sqrt(self._fft_length))
self.burst_tagger = gr.burst_tagger(gr.sizeof_gr_complex) # 1 sample
use_burst_tagger = 1
manual = options.tx_manual
if manual == 0:
if use_burst_tagger == 0:
self.connect((self._pkt_input, 0), self.ifft, self.cp_adder, self.scale, self)
else:
# some burst tagger connections #
self.connect((self._pkt_input, 0), self.ifft, self.cp_adder, self.burst_tagger, self.scale, self)
self.connect((self._pkt_input, 1), (self.cp_adder, 1), (self.burst_tagger,1)) # Connect Apurv's trigger data to the burst tagger
self.connect((self._pkt_input, 2), (self.cp_adder, 2)) # CDD
elif manual == 1:
# punt the pkt_input and use file source #
self.connect(gr.file_source(gr.sizeof_gr_complex*options.fft_length, "fwd_tx_data.dat"), self.cp_adder, self.scale, self)
self.connect(self.scale, gr.file_sink(gr.sizeof_gr_complex, "ofdm_fwd.dat"))
if options.verbose:
self._print_verbage()
if options.log:
self.connect(self._pkt_input, gr.file_sink(gr.sizeof_gr_complex*options.fft_length,
"ofdm_mapper_c.dat"))
self.connect(self.ifft, gr.file_sink(gr.sizeof_gr_complex*options.fft_length,
"ofdm_ifft_c.dat"))
self.connect(self.cp_adder, gr.file_sink(gr.sizeof_gr_complex,
"ofdm_cp_adder_c.dat"))
#self.connect(self.cp_adder, gr.file_sink(gr.sizeof_gr_complex, "ofdm_cp_adder_c.dat"))
self.connect(self._pkt_input, gr.file_sink(gr.sizeof_gr_complex*options.fft_length, "symbols_src.dat"))
self.connect((self._pkt_input, 3), gr.file_sink(gr.sizeof_char, "timing.dat"))
self.connect((self._pkt_input, 4), gr.file_sink(gr.sizeof_char*options.fft_length, "timing_src.dat"))
def __init__(self,
frequency,
sample_rate,
uhd_address="192.168.10.2",
trigger=False):
gr.top_block.__init__(self)
self.freq = frequency
self.samp_rate = sample_rate
self.uhd_addr = uhd_address
self.gain = 32
self.trigger = trigger
self.uhd_src = uhd.single_usrp_source(
device_addr=self.uhd_addr,
io_type=uhd.io_type_t.COMPLEX_FLOAT32,
num_channels=1,
)
self.uhd_src.set_samp_rate(self.samp_rate)
self.uhd_src.set_center_freq(self.freq, 0)
self.uhd_src.set_gain(self.gain, 0)
taps = firdes.low_pass_2(1, 1, 0.4, 0.1, 60)
self.chanfilt = gr.fir_filter_ccc(10, taps)
self.ann0 = gr.annotator_alltoall(100000, gr.sizeof_gr_complex)
self.tagger = gr.burst_tagger(gr.sizeof_gr_complex)
# Dummy signaler to collect a burst on known periods
data = 1000 * [
0,
] + 1000 * [
1,
]
self.signal = gr.vector_source_s(data, True)
# Energy detector to get signal burst
self.c2m = gr.complex_to_mag_squared()
self.iir = gr.single_pole_iir_filter_ff(0.0001)
self.sub = gr.sub_ff()
self.mult = gr.multiply_const_ff(32768)
self.f2s = gr.float_to_short()
self.fsnk = gr.tagged_file_sink(gr.sizeof_gr_complex, self.samp_rate)
##################################################
# Connections
##################################################
self.connect((self.uhd_src, 0), (self.tagger, 0))
self.connect((self.tagger, 0), (self.fsnk, 0))
if self.trigger:
# Connect a dummy signaler to the burst tagger
self.connect((self.signal, 0), (self.tagger, 1))
else:
# Connect an energy detector signaler to the burst tagger
self.connect((self.uhd_src, 0), (self.c2m, 0))
self.connect((self.c2m, 0), (self.sub, 0))
self.connect((self.c2m, 0), (self.iir, 0))
self.connect((self.iir, 0), (self.sub, 1))
self.connect((self.sub, 0), (self.mult, 0))
self.connect((self.mult, 0), (self.f2s, 0))
self.connect((self.f2s, 0), (self.tagger, 1))
