#!/usr/bin/env python # # Copyright 2011 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 random from gnuradio import gr, blks2, packet_utils, gr_unittest from utils import mod_codes, alignment import digital_swig from generic_mod_demod import generic_mod, generic_demod from qa_constellation import tested_constellations, twod_constell # Set a seed so that if errors turn up they are reproducible. # 1234 fails random.seed(1239) # TESTING PARAMETERS # The number of symbols to test with. # We need this many to let the frequency recovery block converge. DATA_LENGTH = 200000 # Test fails if fraction of output that is correct is less than this. REQ_CORRECT = 0.8 # CHANNEL PARAMETERS NOISE_VOLTAGE = 0.01 FREQUENCY_OFFSET = 0.01 TIMING_OFFSET = 1.0 # RECEIVER PARAMETERS # Increased from normal default of 0.01 to speed things up. FREQ_ALPHA = 0.02 # Decreased from normal default of 0.1 is required for the constellations # with smaller point separations. PHASE_ALPHA = 0.02 class test_constellation_receiver (gr_unittest.TestCase): # We ignore the first half of the output data since often it takes # a while for the receiver to lock on. ignore_fraction = 0.8 seed = 1234 max_data_length = DATA_LENGTH * 6 max_num_samples = 1000 def test_basic(self): """ Tests a bunch of different constellations by using generic modulation, a channel, and generic demodulation. The generic demodulation uses constellation_receiver which is what we're really trying to test. """ # Assumes not more than 64 points in a constellation # Generates some random input data to use. self.src_data = tuple( [random.randint(0,1) for i in range(0, self.max_data_length)]) # Generates some random indices to use for comparing input and # output data (a full comparison is too slow in python). self.indices = alignment.random_sample( self.max_data_length, self.max_num_samples, self.seed) for constellation, differential in tested_constellations(): # The constellation_receiver doesn't work for constellations # of multple dimensions (i.e. multiple complex numbers to a # single symbol). # That is not implemented since the receiver has no way of # knowing where the beginning of a symbol is. # It also doesn't work for non-differential modulation. if constellation.dimensionality() != 1 or not differential: continue data_length = DATA_LENGTH * constellation.bits_per_symbol() tb = rec_test_tb(constellation, differential, src_data=self.src_data[:data_length]) tb.run() data = tb.dst.data() d1 = tb.src_data[:int(len(tb.src_data)*self.ignore_fraction)] d2 = data[:int(len(data)*self.ignore_fraction)] correct, overlap, offset, indices = alignment.align_sequences( d1, d2, indices=self.indices) self.assertTrue(correct > REQ_CORRECT) class rec_test_tb (gr.top_block): """ Takes a constellation an runs a generic modulation, channel, and generic demodulation. """ def __init__(self, constellation, differential, data_length=None, src_data=None): """ constellation -- a constellation object differential -- whether differential encoding is used data_length -- the number of bits of data to use src_data -- a list of the bits to use """ super(rec_test_tb, self).__init__() # Transmission Blocks if src_data is None: self.src_data = tuple([random.randint(0,1) for i in range(0, data_length)]) else: self.src_data = src_data packer = gr.unpacked_to_packed_bb(1, gr.GR_MSB_FIRST) src = gr.vector_source_b(self.src_data) mod = generic_mod(constellation, differential=differential) # Channel channel = gr.channel_model(NOISE_VOLTAGE, FREQUENCY_OFFSET, TIMING_OFFSET) # Receiver Blocks demod = generic_demod(constellation, differential=differential, freq_alpha=FREQ_ALPHA, phase_alpha=PHASE_ALPHA) self.dst = gr.vector_sink_b() self.connect(src, packer, mod, channel, demod, self.dst) if __name__ == '__main__': gr_unittest.run(test_constellation_receiver, "test_constellation_receiver.xml")