def test_001_t(self): num_frames = 5 total_subcarriers = 8 used_subcarriers = 4 channel_map = ft.get_channel_map(used_subcarriers, total_subcarriers) payload_symbols = 8 overlap = 4 num_preamble_symbols = 4 payload = ft.get_payload(payload_symbols, used_subcarriers) frame = ft.get_frame(payload, total_subcarriers, channel_map, payload_symbols, overlap) frame = np.tile(frame, num_frames).flatten() payload = np.tile(payload, num_frames).flatten() # set up fg src = blocks.vector_source_c(frame, repeat=False, vlen=total_subcarriers) deframer = fbmc.deframer_vcb(used_subcarriers, total_subcarriers, num_preamble_symbols, payload_symbols, overlap, channel_map) snk = blocks.vector_sink_b(1) self.tb.connect(src, deframer, snk) self.tb.run() # check data res = np.array(snk.data()) print res print payload self.assertTupleEqual(tuple(payload), tuple(res))
def test_001_frames(self): num_frames = 501 total_subcarriers = 8 used_subcarriers = 4 channel_map = ft.get_channel_map(used_subcarriers, total_subcarriers) payload_symbols = 8 overlap = 4 preamble = ft.get_preamble(total_subcarriers) num_preamble_symbols = len(preamble) // total_subcarriers payload = ft.get_payload(payload_symbols, used_subcarriers) payload = np.tile(payload, num_frames).flatten() src = blocks.vector_source_b(payload, repeat=False) framer = fbmc.frame_generator_bvc(used_subcarriers, total_subcarriers, payload_symbols, overlap, channel_map, preamble) deframer = fbmc.deframer_vcb(used_subcarriers, total_subcarriers, num_preamble_symbols, payload_symbols, overlap, channel_map) snk = blocks.vector_sink_b(1) self.tb.connect(src, framer, deframer, snk) self.tb.run() res = np.array(snk.data()) print res print payload self.assertTupleEqual(tuple(payload), tuple(res))
def test_001_t(self): num_frames = 10 total_subcarriers = 8 used_subcarriers = 4 channel_map = ft.get_channel_map(used_subcarriers, total_subcarriers) payload_symbols = 8 overlap = 4 preamble = ft.get_preamble(total_subcarriers) payload = ft.get_payload(payload_symbols, used_subcarriers) frame = ft.get_frame(payload, total_subcarriers, channel_map, payload_symbols, overlap) frame = np.tile(frame, num_frames).flatten() payload = np.tile(payload, num_frames).flatten() # create and connect blocks src = blocks.vector_source_b(payload, repeat=False) framer = fbmc.frame_generator_bvc(used_subcarriers, total_subcarriers, payload_symbols, overlap, channel_map, preamble) snk = blocks.vector_sink_c(total_subcarriers) self.tb.connect(src, framer, snk) print "framer.channel_map() = ", framer.channel_map() # run fg self.tb.run() # check data res = np.array(snk.data()) # print np.reshape(res.astype(float), (-1, total_subcarriers)).T print "len(frame) =", len(frame) print "len(res) =", len(res) self.assertComplexTuplesAlmostEqual(frame, res[0:len(frame)])
def test_003_small_frame_mod(self): num_frames = 300 total_subcarriers = 8 used_subcarriers = 4 channel_map = np.array( (0, 0, 1, 1, 1, 1, 0, 0)) #ft.get_channel_map(used_subcarriers, total_subcarriers) payload_symbols = 8 overlap = 4 taps = ft.generate_phydyas_filter(total_subcarriers, overlap) preamble = ft.get_preamble(total_subcarriers) num_preamble_symbols = len(preamble) // total_subcarriers payload = ft.get_payload(payload_symbols, used_subcarriers) payload = np.tile(payload, num_frames).flatten() src = blocks.vector_source_b(payload, repeat=False) framer = fbmc.frame_generator_bvc(used_subcarriers, total_subcarriers, payload_symbols, overlap, channel_map, preamble) snk_frame = blocks.vector_sink_c(total_subcarriers) # a debug output mod = fbmc.tx_sdft_vcc(taps, total_subcarriers) demod = fbmc.rx_sdft_cvc(taps, total_subcarriers) skipper = blocks.skiphead(8 * total_subcarriers, 4) snk_rx = blocks.vector_sink_c(total_subcarriers) deframer = fbmc.deframer_vcb(used_subcarriers, total_subcarriers, num_preamble_symbols, payload_symbols, overlap, channel_map) snk = blocks.vector_sink_b(1) self.tb.connect(src, framer, mod, demod, skipper, deframer, snk) self.tb.connect(framer, snk_frame) self.tb.connect(skipper, snk_rx) self.tb.run() res = np.array(snk.data()) print "len(res) = ", len(res), ", len(payload) = ", len(payload) print "ref: ", payload print "res: ", res moddata = np.array(snk_frame.data()) print "len(moddata) = ", len(moddata) rxdata = np.array(snk_rx.data()) print "len(rxdata) = ", len( rxdata), " diff: ", len(moddata) - len(rxdata) # plt.plot(rxdata.real * 0.03) # for i in range(len(moddata)): # if (i + 1) % total_subcarriers == 0: # plt.axvline(i) # plt.plot(moddata.real) # plt.grid() # plt.show() print "len(payload) = ", len(payload) print "len(result ) = ", len(res) self.assertTupleEqual(tuple(payload[:len(res)]), tuple(res))
def test_004_config_frame_mod(self): num_frames = 10 cfg = fbmc.fbmc_config(num_used_subcarriers=20, num_payload_sym=16, num_overlap_sym=4, modulation="QPSK", preamble="IAM", samp_rate=250000) total_subcarriers = cfg.num_total_subcarriers() # 8 used_subcarriers = cfg.num_used_subcarriers() # 4 channel_map = cfg.channel_map() # ft.get_channel_map(used_subcarriers, total_subcarriers) payload_symbols = cfg.num_payload_sym() # 8 overlap = cfg.num_overlap_sym() # 4 taps = cfg.phydyas_impulse_taps(cfg.num_total_subcarriers(), cfg.num_overlap_sym()) # ft.generate_phydyas_filter(total_subcarriers, overlap) preamble = ft.get_preamble(total_subcarriers) num_preamble_symbols = len(preamble) // total_subcarriers payload = ft.get_payload(payload_symbols, used_subcarriers) payload = np.tile(payload, num_frames).flatten() src = blocks.vector_source_b(payload, repeat=False) framer = fbmc.frame_generator_bvc(used_subcarriers, total_subcarriers, payload_symbols, overlap, channel_map, preamble) snk_frame = blocks.vector_sink_c(total_subcarriers) # a debug output mod = fbmc.tx_sdft_vcc(taps, total_subcarriers) demod = fbmc.rx_sdft_cvc(taps, total_subcarriers) skipper = blocks.skiphead(8 * total_subcarriers, 4) snk_rx = blocks.vector_sink_c(total_subcarriers) deframer = fbmc.deframer_vcb(used_subcarriers, total_subcarriers, num_preamble_symbols, payload_symbols, overlap, channel_map) snk = blocks.vector_sink_b(1) self.tb.connect(src, framer, mod, demod, skipper, deframer, snk) self.tb.connect(framer, snk_frame) self.tb.connect(skipper, snk_rx) self.tb.run() res = np.array(snk.data()) print res print payload moddata = np.array(snk_frame.data()) print "len(moddata) = ", len(moddata) rxdata = np.array(snk_rx.data()) print "len(rxdata) = ", len(rxdata) # plt.plot(rxdata.real * 0.03) # for i in range(len(moddata)): # if (i + 1) % total_subcarriers == 0: # plt.axvline(i) # plt.plot(moddata.real) # plt.grid() # plt.show() print "len(payload) = ", len(payload) print "len(result) = ", len(res) self.assertTupleEqual(tuple(payload[:len(res)]), tuple(res))
def test_003_small_frame_mod(self): num_frames = 300 total_subcarriers = 8 used_subcarriers = 4 channel_map = np.array((0, 0, 1, 1, 1, 1, 0, 0)) #ft.get_channel_map(used_subcarriers, total_subcarriers) payload_symbols = 8 overlap = 4 taps = ft.generate_phydyas_filter(total_subcarriers, overlap) preamble = ft.get_preamble(total_subcarriers) num_preamble_symbols = len(preamble) // total_subcarriers payload = ft.get_payload(payload_symbols, used_subcarriers) payload = np.tile(payload, num_frames).flatten() src = blocks.vector_source_b(payload, repeat=False) framer = fbmc.frame_generator_bvc(used_subcarriers, total_subcarriers, payload_symbols, overlap, channel_map, preamble) snk_frame = blocks.vector_sink_c(total_subcarriers) # a debug output mod = fbmc.tx_sdft_vcc(taps, total_subcarriers) demod = fbmc.rx_sdft_cvc(taps, total_subcarriers) skipper = blocks.skiphead(8 * total_subcarriers, 4) snk_rx = blocks.vector_sink_c(total_subcarriers) deframer = fbmc.deframer_vcb(used_subcarriers, total_subcarriers, num_preamble_symbols, payload_symbols, overlap, channel_map) snk = blocks.vector_sink_b(1) self.tb.connect(src, framer, mod, demod, skipper, deframer, snk) self.tb.connect(framer, snk_frame) self.tb.connect(skipper, snk_rx) self.tb.run() res = np.array(snk.data()) print "len(res) = ", len(res), ", len(payload) = ", len(payload) print "ref: ", payload print "res: ", res moddata = np.array(snk_frame.data()) print "len(moddata) = ", len(moddata) rxdata = np.array(snk_rx.data()) print "len(rxdata) = ", len(rxdata), " diff: ", len(moddata) - len(rxdata) # plt.plot(rxdata.real * 0.03) # for i in range(len(moddata)): # if (i + 1) % total_subcarriers == 0: # plt.axvline(i) # plt.plot(moddata.real) # plt.grid() # plt.show() print "len(payload) = ", len(payload) print "len(result ) = ", len(res) self.assertTupleEqual(tuple(payload[:len(res)]), tuple(res))
def test_004_config_frame_mod(self): num_frames = 10 cfg = fbmc.fbmc_config(num_used_subcarriers=20, num_payload_sym=16, num_overlap_sym=4, modulation="QPSK", preamble="IAM", samp_rate=250000) total_subcarriers = cfg.num_total_subcarriers() # 8 used_subcarriers = cfg.num_used_subcarriers() # 4 channel_map = cfg.channel_map( ) # ft.get_channel_map(used_subcarriers, total_subcarriers) payload_symbols = cfg.num_payload_sym() # 8 overlap = cfg.num_overlap_sym() # 4 taps = cfg.phydyas_impulse_taps( cfg.num_total_subcarriers(), cfg.num_overlap_sym( )) # ft.generate_phydyas_filter(total_subcarriers, overlap) preamble = ft.get_preamble(total_subcarriers) num_preamble_symbols = len(preamble) // total_subcarriers payload = ft.get_payload(payload_symbols, used_subcarriers) payload = np.tile(payload, num_frames).flatten() src = blocks.vector_source_b(payload, repeat=False) framer = fbmc.frame_generator_bvc(used_subcarriers, total_subcarriers, payload_symbols, overlap, channel_map, preamble) snk_frame = blocks.vector_sink_c(total_subcarriers) # a debug output mod = fbmc.tx_sdft_vcc(taps, total_subcarriers) demod = fbmc.rx_sdft_cvc(taps, total_subcarriers) skipper = blocks.skiphead(8 * total_subcarriers, 4) snk_rx = blocks.vector_sink_c(total_subcarriers) deframer = fbmc.deframer_vcb(used_subcarriers, total_subcarriers, num_preamble_symbols, payload_symbols, overlap, channel_map) snk = blocks.vector_sink_b(1) self.tb.connect(src, framer, mod, demod, skipper, deframer, snk) self.tb.connect(framer, snk_frame) self.tb.connect(skipper, snk_rx) self.tb.run() res = np.array(snk.data()) print res print payload moddata = np.array(snk_frame.data()) print "len(moddata) = ", len(moddata) rxdata = np.array(snk_rx.data()) print "len(rxdata) = ", len(rxdata) # plt.plot(rxdata.real * 0.03) # for i in range(len(moddata)): # if (i + 1) % total_subcarriers == 0: # plt.axvline(i) # plt.plot(moddata.real) # plt.grid() # plt.show() print "len(payload) = ", len(payload) print "len(result) = ", len(res) self.assertTupleEqual(tuple(payload[:len(res)]), tuple(res))