#!/usr/bin/env python # Copyright 2012,2013 Free Software Foundation, Inc. # # This file is part of GNU Radio # # GNU Radio is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 3, or (at your option) # any later version. # # GNU Radio is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with GNU Radio; see the file COPYING. If not, write to # the Free Software Foundation, Inc., 51 Franklin Street, # Boston, MA 02110-1301, USA. # import numpy from gnuradio import gr, gr_unittest, digital, blocks import pmt class qa_ofdm_frame_equalizer_vcvc (gr_unittest.TestCase): def setUp (self): self.tb = gr.top_block () self.tsb_key = "tsb_key" def tearDown (self): self.tb = None def test_001_simple (self): """ Very simple functionality testing: - static equalizer - init channel state with all ones - transmit all ones - make sure we rx all ones - Tag check: put in frame length tag and one other random tag, make sure they're propagated """ fft_len = 8 equalizer = digital.ofdm_equalizer_static(fft_len) n_syms = 3 tx_data = (1,) * fft_len * n_syms chan_tag = gr.tag_t() chan_tag.offset = 0 chan_tag.key = pmt.string_to_symbol("ofdm_sync_chan_taps") chan_tag.value = pmt.init_c32vector(fft_len, (1,) * fft_len) random_tag = gr.tag_t() random_tag.offset = 1 random_tag.key = pmt.string_to_symbol("foo") random_tag.value = pmt.from_long(42) src = blocks.vector_source_c(tx_data, False, fft_len, (chan_tag, random_tag)) eq = digital.ofdm_frame_equalizer_vcvc(equalizer.base(), 0, self.tsb_key) sink = blocks.tsb_vector_sink_c(fft_len, tsb_key=self.tsb_key) self.tb.connect( src, blocks.stream_to_tagged_stream(gr.sizeof_gr_complex, fft_len, n_syms, self.tsb_key), eq, sink ) self.tb.run () # Check data self.assertEqual(tx_data, sink.data()[0]) # Check tags tag_dict = dict() for tag in sink.tags(): ptag = gr.tag_to_python(tag) tag_dict[ptag.key] = ptag.value expected_dict = { 'foo': 42 } self.assertEqual(tag_dict, expected_dict) def test_001b_simple_skip_nothing (self): """ Same as before, but put a skip-header in there """ fft_len = 8 equalizer = digital.ofdm_equalizer_static(fft_len, symbols_skipped=1) n_syms = 3 tx_data = (1,) * fft_len * n_syms chan_tag = gr.tag_t() chan_tag.offset = 0 chan_tag.key = pmt.string_to_symbol("ofdm_sync_chan_taps") chan_tag.value = pmt.init_c32vector(fft_len, (1,) * fft_len) src = blocks.vector_source_c(tx_data, False, fft_len, (chan_tag,)) eq = digital.ofdm_frame_equalizer_vcvc(equalizer.base(), 0, self.tsb_key) sink = blocks.tsb_vector_sink_c(fft_len, tsb_key=self.tsb_key) self.tb.connect( src, blocks.stream_to_tagged_stream(gr.sizeof_gr_complex, fft_len, n_syms, self.tsb_key), eq, sink ) self.tb.run () # Check data self.assertEqual(tx_data, sink.data()[0]) def test_001c_carrier_offset_no_cp (self): """ Same as before, but put a carrier offset in there """ fft_len = 8 cp_len = 0 n_syms = 1 carr_offset = 1 occupied_carriers = ((-2, -1, 1, 2),) tx_data = ( 0, 0, 0, -1j, -1j, 0, -1j, -1j, ) # The rx'd signal is shifted rx_expected = (0, 0, 1, 1, 0, 1, 1, 0) * n_syms equalizer = digital.ofdm_equalizer_static(fft_len, occupied_carriers) chan_tag = gr.tag_t() chan_tag.offset = 0 chan_tag.key = pmt.string_to_symbol("ofdm_sync_chan_taps") # Note: this is shifted to the correct position! chan_tag.value = pmt.init_c32vector(fft_len, (0, 0, -1j, -1j, 0, -1j, -1j, 0)) offset_tag = gr.tag_t() offset_tag.offset = 0 offset_tag.key = pmt.string_to_symbol("ofdm_sync_carr_offset") offset_tag.value = pmt.from_long(carr_offset) src = blocks.vector_source_c(tx_data, False, fft_len, (chan_tag, offset_tag)) eq = digital.ofdm_frame_equalizer_vcvc(equalizer.base(), cp_len, self.tsb_key) sink = blocks.tsb_vector_sink_c(fft_len, tsb_key=self.tsb_key) self.tb.connect( src, blocks.stream_to_tagged_stream(gr.sizeof_gr_complex, fft_len, n_syms, self.tsb_key), eq, sink ) self.tb.run () # Check data self.assertComplexTuplesAlmostEqual(rx_expected, sink.data()[0], places=4) def test_001c_carrier_offset_cp (self): """ Same as before, but put a carrier offset in there and a CP """ fft_len = 8 cp_len = 2 n_syms = 3 # cp_len/fft_len == 1/4, therefore, the phase is rotated by # carr_offset * \pi/2 in every symbol occupied_carriers = ((-2, -1, 1, 2),) carr_offset = -1 tx_data = ( 0,-1j,-1j, 0,-1j,-1j, 0, 0, 0, -1, -1, 0, -1, -1, 0, 0, 0, 1j, 1j, 0, 1j, 1j, 0, 0, ) # Rx'd signal is corrected rx_expected = (0, 0, 1, 1, 0, 1, 1, 0) * n_syms equalizer = digital.ofdm_equalizer_static(fft_len, occupied_carriers) chan_tag = gr.tag_t() chan_tag.offset = 0 chan_tag.key = pmt.string_to_symbol("ofdm_sync_chan_taps") chan_tag.value = pmt.init_c32vector(fft_len, (0, 0, 1, 1, 0, 1, 1, 0)) offset_tag = gr.tag_t() offset_tag.offset = 0 offset_tag.key = pmt.string_to_symbol("ofdm_sync_carr_offset") offset_tag.value = pmt.from_long(carr_offset) src = blocks.vector_source_c(tx_data, False, fft_len, (chan_tag, offset_tag)) eq = digital.ofdm_frame_equalizer_vcvc(equalizer.base(), cp_len, self.tsb_key) sink = blocks.tsb_vector_sink_c(fft_len, tsb_key=self.tsb_key) self.tb.connect( src, blocks.stream_to_tagged_stream(gr.sizeof_gr_complex, fft_len, n_syms, self.tsb_key), eq, sink ) self.tb.run () # Check data self.assertComplexTuplesAlmostEqual(rx_expected, sink.data()[0], places=4) def test_002_static (self): """ - Add a simple channel - Make symbols QPSK """ fft_len = 8 # 4 5 6 7 0 1 2 3 tx_data = [-1, -1, 1, 2, -1, 3, 0, -1, # 0 -1, -1, 0, 2, -1, 2, 0, -1, # 8 -1, -1, 3, 0, -1, 1, 0, -1, # 16 (Pilot symbols) -1, -1, 1, 1, -1, 0, 2, -1] # 24 cnst = digital.constellation_qpsk() tx_signal = [cnst.map_to_points_v(x)[0] if x != -1 else 0 for x in tx_data] occupied_carriers = ((1, 2, 6, 7),) pilot_carriers = ((), (), (1, 2, 6, 7), ()) pilot_symbols = ( [], [], [cnst.map_to_points_v(x)[0] for x in (1, 0, 3, 0)], [] ) equalizer = digital.ofdm_equalizer_static(fft_len, occupied_carriers, pilot_carriers, pilot_symbols) channel = [ 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, # These coefficients will be rotated slightly (but less than \pi/2) 0, 0, 1j, 1j, 0, 1j, 1j, 0, # Go crazy here! 0, 0, 1j, 1j, 0, 1j, 1j, 0 ] channel = [ 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, # These coefficients will be rotated slightly (but less than \pi/2) 0, 0, 1j, 1j, 0, 1j, 1j, 0, # Go crazy here! 0, 0, 1j, 1j, 0, 1j, 1j, 0 ] for idx in range(fft_len, 2*fft_len): channel[idx] = channel[idx-fft_len] * numpy.exp(1j * .1 * numpy.pi * (numpy.random.rand()-.5)) chan_tag = gr.tag_t() chan_tag.offset = 0 chan_tag.key = pmt.string_to_symbol("ofdm_sync_chan_taps") chan_tag.value = pmt.init_c32vector(fft_len, channel[:fft_len]) src = blocks.vector_source_c(numpy.multiply(tx_signal, channel), False, fft_len, (chan_tag,)) sink = blocks.tsb_vector_sink_c(vlen=fft_len, tsb_key=self.tsb_key) eq = digital.ofdm_frame_equalizer_vcvc(equalizer.base(), 0, self.tsb_key, True) self.tb.connect( src, blocks.stream_to_tagged_stream(gr.sizeof_gr_complex, fft_len, len(tx_data)/fft_len, self.tsb_key), eq, sink ) self.tb.run () rx_data = [cnst.decision_maker_v((x,)) if x != 0 else -1 for x in sink.data()[0]] # Check data self.assertEqual(tx_data, rx_data) # Check tags tag_dict = dict() for tag in sink.tags(): ptag = gr.tag_to_python(tag) tag_dict[ptag.key] = ptag.value if ptag.key == 'ofdm_sync_chan_taps': tag_dict[ptag.key] = list(pmt.c32vector_elements(tag.value)) else: tag_dict[ptag.key] = pmt.to_python(tag.value) expected_dict = { 'ofdm_sync_chan_taps': channel[-fft_len:] } self.assertEqual(tag_dict, expected_dict) def test_002_static_wo_tags (self): """ Same as before, but the input stream has no tag. We specify the frame size in the constructor. We also specify a tag key, so the output stream *should* have a TSB tag. """ fft_len = 8 n_syms = 4 # 4 5 6 7 0 1 2 3 tx_data = [-1, -1, 1, 2, -1, 3, 0, -1, # 0 -1, -1, 0, 2, -1, 2, 0, -1, # 8 -1, -1, 3, 0, -1, 1, 0, -1, # 16 (Pilot symbols) -1, -1, 1, 1, -1, 0, 2, -1] # 24 cnst = digital.constellation_qpsk() tx_signal = [cnst.map_to_points_v(x)[0] if x != -1 else 0 for x in tx_data] occupied_carriers = ((1, 2, 6, 7),) pilot_carriers = ((), (), (1, 2, 6, 7), ()) pilot_symbols = ( [], [], [cnst.map_to_points_v(x)[0] for x in (1, 0, 3, 0)], [] ) equalizer = digital.ofdm_equalizer_static(fft_len, occupied_carriers, pilot_carriers, pilot_symbols) channel = [ 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, # These coefficients will be rotated slightly (below)... 0, 0, 1j, 1j, 0, 1j, 1j, 0, # Go crazy here! 0, 0, 1j, 1j, 0, 1j, 1j, 0 # ...and again here. ] for idx in range(fft_len, 2*fft_len): channel[idx] = channel[idx-fft_len] * numpy.exp(1j * .1 * numpy.pi * (numpy.random.rand()-.5)) idx2 = idx+2*fft_len channel[idx2] = channel[idx2] * numpy.exp(1j * 0 * numpy.pi * (numpy.random.rand()-.5)) src = blocks.vector_source_c(numpy.multiply(tx_signal, channel), False, fft_len) eq = digital.ofdm_frame_equalizer_vcvc(equalizer.base(), 0, self.tsb_key, False, n_syms) sink = blocks.tsb_vector_sink_c(vlen=fft_len, tsb_key=self.tsb_key) self.tb.connect( src, blocks.stream_to_tagged_stream(gr.sizeof_gr_complex, fft_len, len(tx_data)/fft_len, self.tsb_key), eq, sink ) self.tb.run () rx_data = [cnst.decision_maker_v((x,)) if x != 0 else -1 for x in sink.data()[0]] self.assertEqual(tx_data, rx_data) # Check TSB Functionality packets = sink.data() self.assertEqual(len(packets), 1) self.assertEqual(len(packets[0]), len(tx_data)) def test_002_static_wo_tags (self): fft_len = 8 # 4 5 6 7 0 1 2 3 tx_data = [-1, -1, 1, 2, -1, 3, 0, -1, # 0 -1, -1, 0, 2, -1, 2, 0, -1, # 8 -1, -1, 3, 0, -1, 1, 0, -1, # 16 (Pilot symbols) -1, -1, 1, 1, -1, 0, 2, -1] # 24 cnst = digital.constellation_qpsk() tx_signal = [cnst.map_to_points_v(x)[0] if x != -1 else 0 for x in tx_data] occupied_carriers = ((1, 2, 6, 7),) pilot_carriers = ((), (), (1, 2, 6, 7), ()) pilot_symbols = ( [], [], [cnst.map_to_points_v(x)[0] for x in (1, 0, 3, 0)], [] ) equalizer = digital.ofdm_equalizer_static(fft_len, occupied_carriers, pilot_carriers, pilot_symbols) channel = [ 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, # These coefficients will be rotated slightly... 0, 0, 1j, 1j, 0, 1j, 1j, 0, # Go crazy here! 0, 0, 1j, 1j, 0, 1j, 1j, 0 # ...and again here. ] for idx in range(fft_len, 2*fft_len): channel[idx] = channel[idx-fft_len] * numpy.exp(1j * .1 * numpy.pi * (numpy.random.rand()-.5)) idx2 = idx+2*fft_len channel[idx2] = channel[idx2] * numpy.exp(1j * 0 * numpy.pi * (numpy.random.rand()-.5)) src = blocks.vector_source_c(numpy.multiply(tx_signal, channel), False, fft_len) sink = blocks.vector_sink_c(fft_len) eq = digital.ofdm_frame_equalizer_vcvc(equalizer.base(), 0, "", False, 4) self.tb.connect(src, eq, sink) self.tb.run () rx_data = [cnst.decision_maker_v((x,)) if x != 0 else -1 for x in sink.data()] self.assertEqual(tx_data, rx_data) def test_002_simpledfe (self): """ Use the simple DFE equalizer. """ fft_len = 8 # 4 5 6 7 0 1 2 3 tx_data = [-1, -1, 1, 2, -1, 3, 0, -1, # 0 -1, -1, 0, 2, -1, 2, 0, -1, # 8 -1, -1, 3, 0, -1, 1, 0, -1, # 16 (Pilot symbols) -1, -1, 1, 1, -1, 0, 2, -1] # 24 cnst = digital.constellation_qpsk() tx_signal = [cnst.map_to_points_v(x)[0] if x != -1 else 0 for x in tx_data] occupied_carriers = ((1, 2, 6, 7),) pilot_carriers = ((), (), (1, 2, 6, 7), ()) pilot_symbols = ( [], [], [cnst.map_to_points_v(x)[0] for x in (1, 0, 3, 0)], [] ) equalizer = digital.ofdm_equalizer_simpledfe( fft_len, cnst.base(), occupied_carriers, pilot_carriers, pilot_symbols, 0, 0.01 ) channel = [ 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, # These coefficients will be rotated slightly... 0, 0, 1j, 1j, 0, 1j, 1j, 0, # Go crazy here! 0, 0, 1j, 1j, 0, 1j, 1j, 0 # ...and again here. ] for idx in range(fft_len, 2*fft_len): channel[idx] = channel[idx-fft_len] * numpy.exp(1j * .1 * numpy.pi * (numpy.random.rand()-.5)) idx2 = idx+2*fft_len channel[idx2] = channel[idx2] * numpy.exp(1j * 0 * numpy.pi * (numpy.random.rand()-.5)) chan_tag = gr.tag_t() chan_tag.offset = 0 chan_tag.key = pmt.string_to_symbol("ofdm_sync_chan_taps") chan_tag.value = pmt.init_c32vector(fft_len, channel[:fft_len]) src = blocks.vector_source_c(numpy.multiply(tx_signal, channel), False, fft_len, (chan_tag,)) eq = digital.ofdm_frame_equalizer_vcvc(equalizer.base(), 0, self.tsb_key, True) sink = blocks.tsb_vector_sink_c(fft_len, tsb_key=self.tsb_key) self.tb.connect( src, blocks.stream_to_tagged_stream(gr.sizeof_gr_complex, fft_len, len(tx_data)/fft_len, self.tsb_key), eq, sink ) self.tb.run () rx_data = [cnst.decision_maker_v((x,)) if x != 0 else -1 for x in sink.data()[0]] self.assertEqual(tx_data, rx_data) self.assertEqual(len(sink.tags()), 1) tag = sink.tags()[0] self.assertEqual(pmt.symbol_to_string(tag.key), "ofdm_sync_chan_taps") self.assertComplexTuplesAlmostEqual(list(pmt.c32vector_elements(tag.value)), channel[-fft_len:], places=1) if __name__ == '__main__': gr_unittest.run(qa_ofdm_frame_equalizer_vcvc, "qa_ofdm_frame_equalizer_vcvc.xml")