def __init__(self,
beta_rrc=0.13,
bits_per_symb=2,
cfar_thresh=8,
cfo_samps=512,
corr_reps=1,
log_interval=10,
packet_len=512,
samps_per_symb=2):
gr.top_block.__init__(self, "Echo Wrapper Neural")
Qt.QWidget.__init__(self)
self.setWindowTitle("Echo Wrapper Neural")
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", "echo_wrapper_neural")
self.restoreGeometry(self.settings.value("geometry").toByteArray())
##################################################
# Parameters
##################################################
self.beta_rrc = beta_rrc
self.bits_per_symb = bits_per_symb
self.cfar_thresh = cfar_thresh
self.cfo_samps = cfo_samps
self.corr_reps = corr_reps
self.log_interval = log_interval
self.packet_len = packet_len
self.samps_per_symb = samps_per_symb
##################################################
# Variables
##################################################
self.samp_rate = samp_rate = 1000000
self.cfo_freqs = cfo_freqs = 11. / 256, 43. / 256, 97. / 256
self.body = body = [
1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1,
1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1,
0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0,
0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1,
0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1,
1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0,
1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1,
1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0,
0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1,
0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1,
0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1,
0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0,
0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1,
1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1,
1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0,
1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0,
1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1,
1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0,
0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1,
0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1,
0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1,
1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0,
0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0,
0, 0, 0, 1, 1, 0
]
self.N0 = N0 = 0.1
##################################################
# Blocks
##################################################
self.echo_triggered_vector_source_b_0 = echo.triggered_vector_source_b(
(body * 2), "", 1, "pkt")
self.echo_preamble_insert_1_0 = echo.preamble_insert((body), 1, 0, 1)
self.echo_preamble_insert_1 = echo.preamble_insert((body), 0, 1, 0)
self.echo_preamble_insert_0_0 = echo.preamble_insert((body), 0, 1, 0)
self.echo_preamble_insert_0 = echo.preamble_insert((body), 1, 0, 1)
self.echo_packet_length_check_0_0 = echo.packet_length_check(
packet_len / bits_per_symb * 2)
self.echo_packet_length_check_0 = echo.packet_length_check(
packet_len / bits_per_symb * 2)
self.echo_modulator_neural_0 = echo.modulator_neural(
12348907843, (50, ), bits_per_symb, (body), log_interval, "")
self.echo_modulator_classic_0 = echo.modulator_classic(
bits_per_symb, (body), log_interval)
self.echo_demodulator_neural_0 = echo.demodulator_neural(
134214, (50, ), bits_per_symb, (body), log_interval, "")
self.echo_demodulator_classic_0 = echo.demodulator_classic(
bits_per_symb,
1024,
preamble=(body),
log_ber_interval=log_interval)
self.qtgui_const_sink_x_0_0_0 = qtgui.const_sink_c(
2048, #size
"Channel IQ Scatter", #name
1 #number of inputs
)
self.qtgui_const_sink_x_0_0_0.set_update_time(0.0)
self.qtgui_const_sink_x_0_0_0.set_y_axis(-2, 2)
self.qtgui_const_sink_x_0_0_0.set_x_axis(-2, 2)
self.qtgui_const_sink_x_0_0_0.set_trigger_mode(qtgui.TRIG_MODE_FREE,
qtgui.TRIG_SLOPE_POS,
0.0, 0, "")
self.qtgui_const_sink_x_0_0_0.enable_autoscale(False)
self.qtgui_const_sink_x_0_0_0.enable_grid(True)
if not True:
self.qtgui_const_sink_x_0_0_0.disable_legend()
labels = ["", "", "", "", "", "", "", "", "", ""]
widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
colors = [
"blue", "red", "red", "red", "red", "red", "red", "red", "red",
"red"
]
styles = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
markers = [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_const_sink_x_0_0_0.set_line_label(
i, "Data {0}".format(i))
else:
self.qtgui_const_sink_x_0_0_0.set_line_label(i, labels[i])
self.qtgui_const_sink_x_0_0_0.set_line_width(i, widths[i])
self.qtgui_const_sink_x_0_0_0.set_line_color(i, colors[i])
self.qtgui_const_sink_x_0_0_0.set_line_style(i, styles[i])
self.qtgui_const_sink_x_0_0_0.set_line_marker(i, markers[i])
self.qtgui_const_sink_x_0_0_0.set_line_alpha(i, alphas[i])
self._qtgui_const_sink_x_0_0_0_win = sip.wrapinstance(
self.qtgui_const_sink_x_0_0_0.pyqwidget(), Qt.QWidget)
self.top_layout.addWidget(self._qtgui_const_sink_x_0_0_0_win)
self.qtgui_const_sink_x_0_0 = qtgui.const_sink_c(
packet_len / bits_per_symb * 2, #size
"Detected Body Constellation", #name
1 #number of inputs
)
self.qtgui_const_sink_x_0_0.set_update_time(0.0)
self.qtgui_const_sink_x_0_0.set_y_axis(-2, 2)
self.qtgui_const_sink_x_0_0.set_x_axis(-2, 2)
self.qtgui_const_sink_x_0_0.set_trigger_mode(qtgui.TRIG_MODE_FREE,
qtgui.TRIG_SLOPE_POS, 0.0,
0, "")
self.qtgui_const_sink_x_0_0.enable_autoscale(False)
self.qtgui_const_sink_x_0_0.enable_grid(True)
if not True:
self.qtgui_const_sink_x_0_0.disable_legend()
labels = ["", "", "", "", "", "", "", "", "", ""]
widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
colors = [
"blue", "red", "red", "red", "red", "red", "red", "red", "red",
"red"
]
styles = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
markers = [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_const_sink_x_0_0.set_line_label(
i, "Data {0}".format(i))
else:
self.qtgui_const_sink_x_0_0.set_line_label(i, labels[i])
self.qtgui_const_sink_x_0_0.set_line_width(i, widths[i])
self.qtgui_const_sink_x_0_0.set_line_color(i, colors[i])
self.qtgui_const_sink_x_0_0.set_line_style(i, styles[i])
self.qtgui_const_sink_x_0_0.set_line_marker(i, markers[i])
self.qtgui_const_sink_x_0_0.set_line_alpha(i, alphas[i])
self._qtgui_const_sink_x_0_0_win = sip.wrapinstance(
self.qtgui_const_sink_x_0_0.pyqwidget(), Qt.QWidget)
self.top_layout.addWidget(self._qtgui_const_sink_x_0_0_win)
self.neural_to_classic_handler = echo.packet_handler(
cfo_samps, corr_reps, packet_len / samps_per_symb * 2, cfar_thresh,
samps_per_symb, beta_rrc, (cfo_freqs))
self.classic_to_neural_handler = echo.packet_handler(
cfo_samps, corr_reps, 2 * packet_len / samps_per_symb, cfar_thresh,
samps_per_symb, beta_rrc, (cfo_freqs))
self.channels_channel_model_0_0 = channels.channel_model(
noise_voltage=N0,
frequency_offset=0.000,
epsilon=1,
taps=(0.714 + 0.714j, ),
noise_seed=0,
block_tags=False)
self.channels_channel_model_0 = channels.channel_model(
noise_voltage=N0,
frequency_offset=0.0000,
epsilon=1,
taps=(0.714 + 0.714j, ),
noise_seed=0,
block_tags=False)
self.blocks_throttle_0 = blocks.throttle(gr.sizeof_gr_complex * 1,
samp_rate, True)
self.blocks_tagged_stream_to_pdu_0_0 = blocks.tagged_stream_to_pdu(
blocks.byte_t, "pkt")
self.blocks_stream_mux_1 = blocks.stream_mux(gr.sizeof_gr_complex * 1,
(1152 * 2, 5000))
self.blocks_stream_mux_0 = blocks.stream_mux(gr.sizeof_gr_complex * 1,
(1152 * 2, 5000))
self.blocks_pdu_to_tagged_stream_0_1 = blocks.pdu_to_tagged_stream(
blocks.complex_t, "pkt")
self.analog_const_source_x_0_0 = analog.sig_source_c(
0, analog.GR_CONST_WAVE, 0, 0, 0)
self.analog_const_source_x_0 = analog.sig_source_c(
0, analog.GR_CONST_WAVE, 0, 0, 0)
##################################################
# Connections
##################################################
self.msg_connect((self.blocks_tagged_stream_to_pdu_0_0, 'pdus'),
(self.echo_modulator_neural_0, 'bits'))
self.msg_connect((self.classic_to_neural_handler, 'unwrap_out'),
(self.echo_packet_length_check_0, 'in'))
self.msg_connect((self.neural_to_classic_handler, 'unwrap_out'),
(self.blocks_pdu_to_tagged_stream_0_1, 'pdus'))
self.msg_connect((self.neural_to_classic_handler, 'unwrap_out'),
(self.echo_packet_length_check_0_0, 'in'))
self.msg_connect((self.echo_demodulator_classic_0, 'bits'),
(self.echo_preamble_insert_0, 'in'))
self.msg_connect((self.echo_demodulator_classic_0, 'bits'),
(self.echo_preamble_insert_0_0, 'in'))
self.msg_connect((self.echo_demodulator_neural_0, 'bits'),
(self.echo_preamble_insert_1, 'in'))
self.msg_connect((self.echo_demodulator_neural_0, 'bits'),
(self.echo_preamble_insert_1_0, 'in'))
self.msg_connect((self.echo_modulator_classic_0, 'symbols'),
(self.classic_to_neural_handler, 'wrap_in'))
self.msg_connect((self.echo_modulator_neural_0, 'symbols'),
(self.neural_to_classic_handler, 'wrap_in'))
self.msg_connect((self.echo_packet_length_check_0, 'validated'),
(self.echo_demodulator_neural_0, 'symbols'))
self.msg_connect((self.echo_packet_length_check_0, 'failed'),
(self.echo_triggered_vector_source_b_0, 'trigger'))
self.msg_connect((self.echo_packet_length_check_0_0, 'validated'),
(self.echo_demodulator_classic_0, 'symbols'))
self.msg_connect((self.echo_packet_length_check_0_0, 'failed'),
(self.echo_triggered_vector_source_b_0, 'trigger'))
self.msg_connect((self.echo_preamble_insert_0, 'out'),
(self.echo_modulator_classic_0, 'bits'))
self.msg_connect((self.echo_preamble_insert_0_0, 'out'),
(self.echo_modulator_classic_0, 'update'))
self.msg_connect((self.echo_preamble_insert_1, 'out'),
(self.echo_modulator_neural_0, 'feedback'))
self.msg_connect((self.echo_preamble_insert_1_0, 'out'),
(self.echo_modulator_neural_0, 'bits'))
self.connect((self.analog_const_source_x_0, 0),
(self.blocks_stream_mux_1, 1))
self.connect((self.analog_const_source_x_0_0, 0),
(self.blocks_stream_mux_0, 1))
self.connect((self.blocks_pdu_to_tagged_stream_0_1, 0),
(self.qtgui_const_sink_x_0_0, 0))
self.connect((self.blocks_stream_mux_0, 0),
(self.channels_channel_model_0, 0))
self.connect((self.blocks_stream_mux_1, 0),
(self.channels_channel_model_0_0, 0))
self.connect((self.blocks_throttle_0, 0),
(self.neural_to_classic_handler, 0))
self.connect((self.channels_channel_model_0, 0),
(self.blocks_throttle_0, 0))
self.connect((self.channels_channel_model_0, 0),
(self.qtgui_const_sink_x_0_0_0, 0))
self.connect((self.channels_channel_model_0_0, 0),
(self.classic_to_neural_handler, 0))
self.connect((self.classic_to_neural_handler, 0),
(self.blocks_stream_mux_1, 0))
self.connect((self.neural_to_classic_handler, 0),
(self.blocks_stream_mux_0, 0))
self.connect((self.echo_triggered_vector_source_b_0, 0),
(self.blocks_tagged_stream_to_pdu_0_0, 0))
def __init__(self, beta_rrc=0.13, bits_per_symb=2, cfar_thresh=50, cfo_samps=512, corr_reps=2, demod_hidden_layers=[50], demod_init_weights="", demod_seed=341133, demodtype="neural", lambda_center=1, log_interval=1, max_amplitude=0.707, mod_hidden_layers=[50], mod_init_weights="", mod_seed=341132, modtype="neural", packet_len=256, rx_gain=4, samps_per_symb=2, shared_preamble="", spy_thresh=0.1, tx_gain=3):
gr.top_block.__init__(self, "Echo Single-USRP Flowgraph")
##################################################
# Parameters
##################################################
self.beta_rrc = beta_rrc
self.bits_per_symb = bits_per_symb
self.cfar_thresh = cfar_thresh
self.cfo_samps = cfo_samps
self.corr_reps = corr_reps
self.demod_hidden_layers = demod_hidden_layers
self.demod_init_weights = demod_init_weights
self.demod_seed = demod_seed
self.demodtype = demodtype
self.lambda_center = lambda_center
self.log_interval = log_interval
self.max_amplitude = max_amplitude
self.mod_hidden_layers = mod_hidden_layers
self.mod_init_weights = mod_init_weights
self.mod_seed = mod_seed
self.modtype = modtype
self.packet_len = packet_len
self.rx_gain = rx_gain
self.samps_per_symb = samps_per_symb
self.shared_preamble = shared_preamble
self.spy_thresh = spy_thresh
self.tx_gain = tx_gain
##################################################
# Variables
##################################################
self.spy_length = spy_length = 64 * bits_per_symb
self.samp_rate = samp_rate = 500000
self.full_len = full_len = 2 * packet_len + (spy_length + 96) / bits_per_symb
self.cfo_freqs = cfo_freqs = 11./256, 43./256, 97./256
self.F_center = F_center = 1000000000
##################################################
# Blocks
##################################################
self.zeromq_pull_msg_source_1 = zeromq.pull_msg_source("tcp://127.0.0.1:5556", 100, True)
self.zeromq_pull_msg_source_0 = zeromq.pull_msg_source("tcp://127.0.0.1:5555", 100, True)
self.uhd_usrp_source_0 = uhd.usrp_source(
",".join(("", "")),
uhd.stream_args(
cpu_format="fc32",
channels=range(2),
),
)
self.uhd_usrp_source_0.set_samp_rate(samp_rate)
self.uhd_usrp_source_0.set_center_freq(F_center, 0)
self.uhd_usrp_source_0.set_gain(rx_gain, 0)
self.uhd_usrp_source_0.set_antenna("RX2", 0)
self.uhd_usrp_source_0.set_center_freq(F_center, 1)
self.uhd_usrp_source_0.set_gain(rx_gain, 1)
self.uhd_usrp_source_0.set_antenna("RX2", 1)
self.uhd_usrp_sink_0 = uhd.usrp_sink(
",".join(("", "")),
uhd.stream_args(
cpu_format="fc32",
channels=range(1),
),
"packet_len",
)
self.uhd_usrp_sink_0.set_samp_rate(samp_rate)
self.uhd_usrp_sink_0.set_center_freq(F_center, 0)
self.uhd_usrp_sink_0.set_gain(tx_gain, 0)
self.uhd_usrp_sink_0.set_antenna("TX/RX", 0)
self.echo_watchdog_0 = echo.watchdog(1)
self.echo_echo_mod_demod_0 = echo.echo_mod_demod(packet_len * bits_per_symb, shared_preamble, bits_per_symb,
modtype, demodtype,
mod_seed=mod_seed, demod_seed=demod_seed,
mod_hidden_layers=(mod_hidden_layers), demod_hidden_layers=(demod_hidden_layers),
mod_init_weights=mod_init_weights, demod_init_weights=demod_init_weights,
log_interval=log_interval, spy_length=spy_length, spy_threshold=0.1,
max_amplitude=max_amplitude, lambda_center=lambda_center,
_alias="neural-agent")
self.neural_to_classic_handler = echo.packet_handler(cfo_samps, corr_reps, full_len, cfar_thresh, samps_per_symb, beta_rrc, (cfo_freqs))
self.channels_channel_model_0 = channels.channel_model(
noise_voltage=0.0000,
frequency_offset=0.0,
epsilon=1.0,
taps=(1.0 + 0.0j, ),
noise_seed=0,
block_tags=False
)
self.blocks_random_pdu_0 = blocks.random_pdu(2 * packet_len * bits_per_symb, 2 * packet_len * bits_per_symb, chr(0x01), 2)
self.blocks_null_sink_0 = blocks.null_sink(gr.sizeof_gr_complex*1)
##################################################
# Connections
##################################################
self.msg_connect((self.blocks_random_pdu_0, 'pdus'), (self.echo_echo_mod_demod_0, 'mod_in'))
self.msg_connect((self.neural_to_classic_handler, 'unwrap_out'), (self.echo_echo_mod_demod_0, 'demod_in'))
self.msg_connect((self.neural_to_classic_handler, 'unwrap_out'), (self.echo_watchdog_0, 'in'))
self.msg_connect((self.echo_echo_mod_demod_0, 'mod_out'), (self.neural_to_classic_handler, 'wrap_in'))
self.msg_connect((self.echo_watchdog_0, 'out'), (self.blocks_random_pdu_0, 'generate'))
self.msg_connect((self.zeromq_pull_msg_source_0, 'out'), (self.echo_echo_mod_demod_0, 'control'))
self.msg_connect((self.zeromq_pull_msg_source_0, 'out'), (self.uhd_usrp_sink_0, 'command'))
self.msg_connect((self.zeromq_pull_msg_source_1, 'out'), (self.echo_echo_mod_demod_0, 'control'))
self.msg_connect((self.zeromq_pull_msg_source_1, 'out'), (self.uhd_usrp_source_0, 'command'))
self.connect((self.channels_channel_model_0, 0), (self.neural_to_classic_handler, 0))
self.connect((self.neural_to_classic_handler, 0), (self.uhd_usrp_sink_0, 0))
self.connect((self.uhd_usrp_source_0, 0), (self.blocks_null_sink_0, 0))
self.connect((self.uhd_usrp_source_0, 1), (self.channels_channel_model_0, 0))
def __init__(self,
beta_rrc=0.13,
bits_per_symb=2,
cfar_thresh=8,
cfo_samps=512,
corr_reps=2,
log_interval=1,
packet_len=512,
samps_per_symb=2,
spy_length=64,
spy_thresh=0.1):
gr.top_block.__init__(self, "Echo Classic Usrp Spy")
##################################################
# Parameters
##################################################
self.beta_rrc = beta_rrc
self.bits_per_symb = bits_per_symb
self.cfar_thresh = cfar_thresh
self.cfo_samps = cfo_samps
self.corr_reps = corr_reps
self.log_interval = log_interval
self.packet_len = packet_len
self.samps_per_symb = samps_per_symb
self.spy_length = spy_length
self.spy_thresh = spy_thresh
##################################################
# Variables
##################################################
self.tx_gain = tx_gain = 4
self.samp_rate = samp_rate = 500000
self.rx_gain = rx_gain = 3
self.cfo_freqs = cfo_freqs = 11. / 256, 43. / 256, 97. / 256
self.body = body = [
1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1,
1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1,
0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0,
0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1,
0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1,
1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0,
1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1,
1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0,
0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1,
0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1,
0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1,
0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0,
0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1,
1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1,
1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0,
1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0,
1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1,
1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0,
0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1,
0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1,
0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1,
1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0,
0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0,
0, 0, 0, 1, 1, 0
]
self.F_center = F_center = 1000000000
##################################################
# Blocks
##################################################
self.zeromq_pull_msg_source_tx = zeromq.pull_msg_source(
"tcp://127.0.0.1:5555", 100, True)
self.zeromq_pull_msg_source_rx = zeromq.pull_msg_source(
"tcp://127.0.0.1:5556", 100, True)
self.uhd_usrp_source_0 = uhd.usrp_source(
",".join(("", "")),
uhd.stream_args(
cpu_format="fc32",
channels=range(2),
),
)
self.uhd_usrp_source_0.set_samp_rate(samp_rate)
self.uhd_usrp_source_0.set_center_freq(F_center, 0)
self.uhd_usrp_source_0.set_gain(20, 0)
self.uhd_usrp_source_0.set_antenna("RX2", 0)
self.uhd_usrp_source_0.set_center_freq(F_center, 1)
self.uhd_usrp_source_0.set_gain(rx_gain, 1)
self.uhd_usrp_source_0.set_antenna("RX2", 1)
self.uhd_usrp_sink_0 = uhd.usrp_sink(
",".join(("", "")),
uhd.stream_args(
cpu_format="fc32",
channels=range(1),
),
"packet_len",
)
self.uhd_usrp_sink_0.set_samp_rate(samp_rate)
self.uhd_usrp_sink_0.set_center_freq(F_center, 0)
self.uhd_usrp_sink_0.set_gain(tx_gain, 0)
self.uhd_usrp_sink_0.set_antenna("TX/RX", 0)
self.echo_watchdog_0 = echo.watchdog(5)
self.echo_preamble_insert_0_1 = echo.preamble_insert((body), 1, 0, 0)
self.echo_preamble_insert_0_0 = echo.preamble_insert((body), 0, 1, 0)
self.echo_preamble_insert_0 = echo.preamble_insert((body), 1, 0, 1)
self.echo_packet_length_check_0 = echo.packet_length_check(
(2 * packet_len + spy_length) / bits_per_symb)
self.echo_modulator_classic_spy_0 = echo.modulator_classic_spy(
bits_per_symb, (body), log_interval, spy_length)
self.echo_demodulator_classic_spy_0 = echo.demodulator_classic_spy(
bits_per_symbol=bits_per_symb,
block_length=1024,
preamble=(body),
log_ber_interval=log_interval,
spy_length=spy_length,
spy_threshold=spy_thresh)
self.neural_to_classic_handler = echo.packet_handler(
cfo_samps, corr_reps,
(2 * packet_len + spy_length) / bits_per_symb, cfar_thresh,
samps_per_symb, beta_rrc, (cfo_freqs))
self.blocks_random_pdu_0 = blocks.random_pdu(packet_len, packet_len,
chr(0x01), 1)
self.blocks_null_sink_0 = blocks.null_sink(gr.sizeof_gr_complex * 1)
##################################################
# Connections
##################################################
self.msg_connect((self.blocks_random_pdu_0, 'pdus'),
(self.echo_preamble_insert_0_1, 'in'))
self.msg_connect((self.neural_to_classic_handler, 'unwrap_out'),
(self.echo_packet_length_check_0, 'in'))
self.msg_connect((self.echo_demodulator_classic_spy_0, 'corrupt'),
(self.blocks_random_pdu_0, 'generate'))
self.msg_connect((self.echo_demodulator_classic_spy_0, 'bits'),
(self.echo_preamble_insert_0, 'in'))
self.msg_connect((self.echo_demodulator_classic_spy_0, 'bits'),
(self.echo_preamble_insert_0_0, 'in'))
self.msg_connect((self.echo_modulator_classic_spy_0, 'symbols'),
(self.neural_to_classic_handler, 'wrap_in'))
self.msg_connect((self.echo_packet_length_check_0, 'failed'),
(self.blocks_random_pdu_0, 'generate'))
self.msg_connect((self.echo_packet_length_check_0, 'validated'),
(self.echo_demodulator_classic_spy_0, 'symbols'))
self.msg_connect((self.echo_packet_length_check_0, 'passthrough'),
(self.echo_watchdog_0, 'in'))
self.msg_connect((self.echo_preamble_insert_0, 'out'),
(self.echo_modulator_classic_spy_0, 'bits'))
self.msg_connect((self.echo_preamble_insert_0_0, 'out'),
(self.echo_modulator_classic_spy_0, 'update'))
self.msg_connect((self.echo_preamble_insert_0_1, 'out'),
(self.echo_modulator_classic_spy_0, 'bits'))
self.msg_connect((self.echo_watchdog_0, 'out'),
(self.blocks_random_pdu_0, 'generate'))
self.msg_connect((self.zeromq_pull_msg_source_rx, 'out'),
(self.uhd_usrp_source_0, 'command'))
self.msg_connect((self.zeromq_pull_msg_source_tx, 'out'),
(self.uhd_usrp_sink_0, 'command'))
self.connect((self.neural_to_classic_handler, 0),
(self.uhd_usrp_sink_0, 0))
self.connect((self.uhd_usrp_source_0, 0), (self.blocks_null_sink_0, 0))
self.connect((self.uhd_usrp_source_0, 1),
(self.neural_to_classic_handler, 0))
def __init__(self,
beta_rrc=0.13,
bits_per_symb=2,
cfar_thresh=10,
cfo_samps=512,
corr_reps=1,
log_interval=10,
packet_len=512,
samps_per_symb=2):
gr.top_block.__init__(self, "Echo Wrapper Classic Usrp")
Qt.QWidget.__init__(self)
self.setWindowTitle("Echo Wrapper Classic Usrp")
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", "echo_wrapper_classic_usrp")
self.restoreGeometry(self.settings.value("geometry").toByteArray())
##################################################
# Parameters
##################################################
self.beta_rrc = beta_rrc
self.bits_per_symb = bits_per_symb
self.cfar_thresh = cfar_thresh
self.cfo_samps = cfo_samps
self.corr_reps = corr_reps
self.log_interval = log_interval
self.packet_len = packet_len
self.samps_per_symb = samps_per_symb
##################################################
# Variables
##################################################
self.samp_rate = samp_rate = 500000
self.cfo_freqs = cfo_freqs = 11. / 256, 43. / 256, 97. / 256
self.body = body = [
1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1,
1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1,
0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0,
0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1,
0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1,
1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0,
1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1,
1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0,
0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1,
0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1,
0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1,
0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0,
0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1,
1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1,
1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0,
1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0,
1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1,
1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0,
0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1,
0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1,
0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1,
1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0,
0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0,
0, 0, 0, 1, 1, 0
]
self.F_center = F_center = 1000000000
##################################################
# Blocks
##################################################
self.zeromq_pull_msg_source_tx = zeromq.pull_msg_source(
"tcp://127.0.0.1:5555", 100, False)
self.zeromq_pull_msg_source_rx = zeromq.pull_msg_source(
"tcp://127.0.0.1:5556", 100, False)
self.uhd_usrp_source_0 = uhd.usrp_source(
",".join(("", "")),
uhd.stream_args(
cpu_format="fc32",
channels=range(2),
),
)
self.uhd_usrp_source_0.set_samp_rate(samp_rate)
self.uhd_usrp_source_0.set_center_freq(F_center, 0)
self.uhd_usrp_source_0.set_gain(20, 0)
self.uhd_usrp_source_0.set_antenna("RX2", 0)
self.uhd_usrp_source_0.set_center_freq(F_center, 1)
self.uhd_usrp_source_0.set_gain(5, 1)
self.uhd_usrp_source_0.set_antenna("RX2", 1)
self.uhd_usrp_sink_0 = uhd.usrp_sink(
",".join(("", "")),
uhd.stream_args(
cpu_format="fc32",
channels=range(1),
),
"packet_len",
)
self.uhd_usrp_sink_0.set_samp_rate(samp_rate)
self.uhd_usrp_sink_0.set_center_freq(F_center, 0)
self.uhd_usrp_sink_0.set_gain(5, 0)
self.uhd_usrp_sink_0.set_antenna("TX/RX", 0)
self.echo_watchdog_0 = echo.watchdog(5)
self.echo_triggered_vector_source_b_0 = echo.triggered_vector_source_b(
(body), "", 1, "pkt")
self.echo_preamble_insert_0_1 = echo.preamble_insert((body), 1, 0, 0)
self.echo_preamble_insert_0_0 = echo.preamble_insert((body), 0, 1, 0)
self.echo_preamble_insert_0 = echo.preamble_insert((body), 1, 0, 1)
self.echo_packet_length_check_0 = echo.packet_length_check(
packet_len / bits_per_symb * 2)
self.echo_modulator_classic_1 = echo.modulator_classic(
bits_per_symb, (body), log_interval)
self.echo_demodulator_classic_0_0 = echo.demodulator_classic(
bits_per_symb,
1024,
preamble=(body),
log_ber_interval=log_interval)
self.qtgui_const_sink_x_0_0_0 = qtgui.const_sink_c(
2048, #size
"Channel IQ Scatter", #name
1 #number of inputs
)
self.qtgui_const_sink_x_0_0_0.set_update_time(0.0)
self.qtgui_const_sink_x_0_0_0.set_y_axis(-2, 2)
self.qtgui_const_sink_x_0_0_0.set_x_axis(-2, 2)
self.qtgui_const_sink_x_0_0_0.set_trigger_mode(qtgui.TRIG_MODE_FREE,
qtgui.TRIG_SLOPE_POS,
0.0, 0, "")
self.qtgui_const_sink_x_0_0_0.enable_autoscale(True)
self.qtgui_const_sink_x_0_0_0.enable_grid(True)
if not True:
self.qtgui_const_sink_x_0_0_0.disable_legend()
labels = ["", "", "", "", "", "", "", "", "", ""]
widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
colors = [
"blue", "red", "red", "red", "red", "red", "red", "red", "red",
"red"
]
styles = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
markers = [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_const_sink_x_0_0_0.set_line_label(
i, "Data {0}".format(i))
else:
self.qtgui_const_sink_x_0_0_0.set_line_label(i, labels[i])
self.qtgui_const_sink_x_0_0_0.set_line_width(i, widths[i])
self.qtgui_const_sink_x_0_0_0.set_line_color(i, colors[i])
self.qtgui_const_sink_x_0_0_0.set_line_style(i, styles[i])
self.qtgui_const_sink_x_0_0_0.set_line_marker(i, markers[i])
self.qtgui_const_sink_x_0_0_0.set_line_alpha(i, alphas[i])
self._qtgui_const_sink_x_0_0_0_win = sip.wrapinstance(
self.qtgui_const_sink_x_0_0_0.pyqwidget(), Qt.QWidget)
self.top_layout.addWidget(self._qtgui_const_sink_x_0_0_0_win)
self.qtgui_const_sink_x_0_0 = qtgui.const_sink_c(
packet_len / bits_per_symb, #size
"Detected Body Constellation", #name
1 #number of inputs
)
self.qtgui_const_sink_x_0_0.set_update_time(0.0)
self.qtgui_const_sink_x_0_0.set_y_axis(-2, 2)
self.qtgui_const_sink_x_0_0.set_x_axis(-2, 2)
self.qtgui_const_sink_x_0_0.set_trigger_mode(qtgui.TRIG_MODE_FREE,
qtgui.TRIG_SLOPE_POS, 0.0,
0, "")
self.qtgui_const_sink_x_0_0.enable_autoscale(False)
self.qtgui_const_sink_x_0_0.enable_grid(True)
if not True:
self.qtgui_const_sink_x_0_0.disable_legend()
labels = ["", "", "", "", "", "", "", "", "", ""]
widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
colors = [
"blue", "red", "red", "red", "red", "red", "red", "red", "red",
"red"
]
styles = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
markers = [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_const_sink_x_0_0.set_line_label(
i, "Data {0}".format(i))
else:
self.qtgui_const_sink_x_0_0.set_line_label(i, labels[i])
self.qtgui_const_sink_x_0_0.set_line_width(i, widths[i])
self.qtgui_const_sink_x_0_0.set_line_color(i, colors[i])
self.qtgui_const_sink_x_0_0.set_line_style(i, styles[i])
self.qtgui_const_sink_x_0_0.set_line_marker(i, markers[i])
self.qtgui_const_sink_x_0_0.set_line_alpha(i, alphas[i])
self._qtgui_const_sink_x_0_0_win = sip.wrapinstance(
self.qtgui_const_sink_x_0_0.pyqwidget(), Qt.QWidget)
self.top_layout.addWidget(self._qtgui_const_sink_x_0_0_win)
self.neural_to_classic_handler = echo.packet_handler(
cfo_samps, corr_reps, packet_len / bits_per_symb * 2, cfar_thresh,
samps_per_symb, beta_rrc, (cfo_freqs))
self.blocks_tagged_stream_to_pdu_0_0 = blocks.tagged_stream_to_pdu(
blocks.byte_t, "pkt")
self.blocks_pdu_to_tagged_stream_0_1 = blocks.pdu_to_tagged_stream(
blocks.complex_t, "pkt")
self.blocks_null_sink_0 = blocks.null_sink(gr.sizeof_gr_complex * 1)
##################################################
# Connections
##################################################
self.msg_connect((self.blocks_tagged_stream_to_pdu_0_0, 'pdus'),
(self.echo_preamble_insert_0_1, 'in'))
self.msg_connect((self.neural_to_classic_handler, 'unwrap_out'),
(self.blocks_pdu_to_tagged_stream_0_1, 'pdus'))
self.msg_connect((self.neural_to_classic_handler, 'unwrap_out'),
(self.echo_packet_length_check_0, 'in'))
self.msg_connect((self.echo_demodulator_classic_0_0, 'bits'),
(self.echo_preamble_insert_0, 'in'))
self.msg_connect((self.echo_demodulator_classic_0_0, 'bits'),
(self.echo_preamble_insert_0_0, 'in'))
self.msg_connect((self.echo_modulator_classic_1, 'symbols'),
(self.neural_to_classic_handler, 'wrap_in'))
self.msg_connect((self.echo_packet_length_check_0, 'validated'),
(self.echo_demodulator_classic_0_0, 'symbols'))
self.msg_connect((self.echo_packet_length_check_0, 'failed'),
(self.echo_triggered_vector_source_b_0, 'trigger'))
self.msg_connect((self.echo_packet_length_check_0, 'passthrough'),
(self.echo_watchdog_0, 'in'))
self.msg_connect((self.echo_preamble_insert_0, 'out'),
(self.echo_modulator_classic_1, 'bits'))
self.msg_connect((self.echo_preamble_insert_0_0, 'out'),
(self.echo_modulator_classic_1, 'update'))
self.msg_connect((self.echo_preamble_insert_0_1, 'out'),
(self.echo_modulator_classic_1, 'bits'))
self.msg_connect((self.echo_watchdog_0, 'out'),
(self.echo_triggered_vector_source_b_0, 'trigger'))
self.msg_connect((self.zeromq_pull_msg_source_rx, 'out'),
(self.uhd_usrp_source_0, 'command'))
self.msg_connect((self.zeromq_pull_msg_source_tx, 'out'),
(self.uhd_usrp_sink_0, 'command'))
self.connect((self.blocks_pdu_to_tagged_stream_0_1, 0),
(self.qtgui_const_sink_x_0_0, 0))
self.connect((self.neural_to_classic_handler, 0),
(self.uhd_usrp_sink_0, 0))
self.connect((self.echo_triggered_vector_source_b_0, 0),
(self.blocks_tagged_stream_to_pdu_0_0, 0))
self.connect((self.uhd_usrp_source_0, 0), (self.blocks_null_sink_0, 0))
self.connect((self.uhd_usrp_source_0, 1),
(self.neural_to_classic_handler, 0))
self.connect((self.uhd_usrp_source_0, 1),
(self.qtgui_const_sink_x_0_0_0, 0))