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#!/usr/bin/env python
#
# Copyright 2013-2014 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# SPDX-License-Identifier: GPL-3.0-or-later
#
#
from gnuradio import gr, gr_unittest, digital, blocks
from math import sqrt
from numpy import random, vectorize
class test_constellation_soft_decoder(gr_unittest.TestCase):
def setUp(self):
random.seed(0)
self.tb = gr.top_block()
def tearDown(self):
self.tb = None
def helper_with_lut(self, prec, src_data, const_gen, const_sd_gen):
cnst_pts, code = const_gen()
Es = max([abs(c) for c in cnst_pts])
lut = digital.soft_dec_table_generator(const_sd_gen, prec, Es)
expected_result = list()
for s in src_data:
res = digital.calc_soft_dec_from_table(s, lut, prec, sqrt(2.0))
expected_result += res
cnst = digital.constellation_calcdist(cnst_pts, code, 2, 1)
cnst.set_soft_dec_lut(lut, int(prec))
src = blocks.vector_source_c(src_data)
op = digital.constellation_soft_decoder_cf(cnst.base())
dst = blocks.vector_sink_f()
self.tb.connect(src, op)
self.tb.connect(op, dst)
self.tb.run()
actual_result = dst.data() # fetch the contents of the sink
# print "actual result", actual_result
# print "expected result", expected_result
self.assertFloatTuplesAlmostEqual(expected_result, actual_result, 5)
def helper_no_lut(self, prec, src_data, const_gen, const_sd_gen):
cnst_pts, code = const_gen()
cnst = digital.constellation_calcdist(cnst_pts, code, 2, 1)
expected_result = list()
for s in src_data:
res = digital.calc_soft_dec(s, cnst.points(), code)
expected_result += res
src = blocks.vector_source_c(src_data)
op = digital.constellation_soft_decoder_cf(cnst.base())
dst = blocks.vector_sink_f()
self.tb.connect(src, op)
self.tb.connect(op, dst)
self.tb.run()
actual_result = dst.data() # fetch the contents of the sink
# print "actual result", actual_result
# print "expected result", expected_result
# Double vs. float precision issues between Python and C++, so
# use only 4 decimals in comparisons.
self.assertFloatTuplesAlmostEqual(expected_result, actual_result, 4)
def test_constellation_soft_decoder_cf_bpsk_3(self):
prec = 3
src_data = (-1.0 - 1.0j, 1.0 - 1.0j, -1.0 + 1.0j, 1.0 + 1.0j,
-2.0 - 2.0j, 2.0 - 2.0j, -2.0 + 2.0j, 2.0 + 2.0j,
-0.2 - 0.2j, 0.2 - 0.2j, -0.2 + 0.2j, 0.2 + 0.2j,
0.3 + 0.4j, 0.1 - 1.2j, -0.8 - 0.1j, -0.4 + 0.8j,
0.8 + 1.0j, -0.5 + 0.1j, 0.1 + 1.2j, -1.7 - 0.9j)
self.helper_with_lut(
prec,
src_data,
digital.psk_2_0x0,
digital.sd_psk_2_0x0)
def test_constellation_soft_decoder_cf_bpsk_8(self):
prec = 8
src_data = (-1.0 - 1.0j, 1.0 - 1.0j, -1.0 + 1.0j, 1.0 + 1.0j,
-2.0 - 2.0j, 2.0 - 2.0j, -2.0 + 2.0j, 2.0 + 2.0j,
-0.2 - 0.2j, 0.2 - 0.2j, -0.2 + 0.2j, 0.2 + 0.2j,
0.3 + 0.4j, 0.1 - 1.2j, -0.8 - 0.1j, -0.4 + 0.8j,
0.8 + 1.0j, -0.5 + 0.1j, 0.1 + 1.2j, -1.7 - 0.9j)
self.helper_with_lut(
prec,
src_data,
digital.psk_2_0x0,
digital.sd_psk_2_0x0)
def test_constellation_soft_decoder_cf_bpsk_8_rand(self):
prec = 8
src_data = vectorize(complex)(
2 * random.randn(100), 2 * random.randn(100))
self.helper_with_lut(
prec,
src_data,
digital.psk_2_0x0,
digital.sd_psk_2_0x0)
def test_constellation_soft_decoder_cf_bpsk_8_rand2(self):
prec = 8
src_data = vectorize(complex)(
2 * random.randn(100), 2 * random.randn(100))
self.helper_no_lut(
prec,
src_data,
digital.psk_2_0x0,
digital.sd_psk_2_0x0)
def test_constellation_soft_decoder_cf_qpsk_3(self):
prec = 3
src_data = (-1.0 - 1.0j, 1.0 - 1.0j, -1.0 + 1.0j, 1.0 + 1.0j,
-2.0 - 2.0j, 2.0 - 2.0j, -2.0 + 2.0j, 2.0 + 2.0j,
-0.2 - 0.2j, 0.2 - 0.2j, -0.2 + 0.2j, 0.2 + 0.2j,
0.3 + 0.4j, 0.1 - 1.2j, -0.8 - 0.1j, -0.4 + 0.8j,
0.8 + 1.0j, -0.5 + 0.1j, 0.1 + 1.2j, -1.7 - 0.9j)
self.helper_with_lut(
prec,
src_data,
digital.psk_4_0x0_0_1,
digital.sd_psk_4_0x0_0_1)
def test_constellation_soft_decoder_cf_qpsk_8(self):
prec = 8
src_data = (-1.0 - 1.0j, 1.0 - 1.0j, -1.0 + 1.0j, 1.0 + 1.0j,
-2.0 - 2.0j, 2.0 - 2.0j, -2.0 + 2.0j, 2.0 + 2.0j,
-0.2 - 0.2j, 0.2 - 0.2j, -0.2 + 0.2j, 0.2 + 0.2j,
0.3 + 0.4j, 0.1 - 1.2j, -0.8 - 0.1j, -0.4 + 0.8j,
0.8 + 1.0j, -0.5 + 0.1j, 0.1 + 1.2j, -1.7 - 0.9j)
self.helper_with_lut(
prec,
src_data,
digital.psk_4_0x0_0_1,
digital.sd_psk_4_0x0_0_1)
def test_constellation_soft_decoder_cf_qpsk_8_rand(self):
prec = 8
src_data = vectorize(complex)(
2 * random.randn(100), 2 * random.randn(100))
self.helper_with_lut(
prec,
src_data,
digital.psk_4_0x0_0_1,
digital.sd_psk_4_0x0_0_1)
def test_constellation_soft_decoder_cf_qpsk_8_rand2(self):
prec = 8
src_data = vectorize(complex)(
2 * random.randn(100), 2 * random.randn(100))
self.helper_no_lut(
prec,
src_data,
digital.psk_4_0x0_0_1,
digital.sd_psk_4_0x0_0_1)
def test_constellation_soft_decoder_cf_qam16_3(self):
prec = 3
src_data = (-1.0 - 1.0j, 1.0 - 1.0j, -1.0 + 1.0j, 1.0 + 1.0j,
-2.0 - 2.0j, 2.0 - 2.0j, -2.0 + 2.0j, 2.0 + 2.0j,
-0.2 - 0.2j, 0.2 - 0.2j, -0.2 + 0.2j, 0.2 + 0.2j,
0.3 + 0.4j, 0.1 - 1.2j, -0.8 - 0.1j, -0.4 + 0.8j,
0.8 + 1.0j, -0.5 + 0.1j, 0.1 + 1.2j, -1.7 - 0.9j)
self.helper_with_lut(
prec,
src_data,
digital.qam_16_0x0_0_1_2_3,
digital.sd_qam_16_0x0_0_1_2_3)
def test_constellation_soft_decoder_cf_qam16_8(self):
prec = 8
src_data = (-1.0 - 1.0j, 1.0 - 1.0j, -1.0 + 1.0j, 1.0 + 1.0j,
-2.0 - 2.0j, 2.0 - 2.0j, -2.0 + 2.0j, 2.0 + 2.0j,
-0.2 - 0.2j, 0.2 - 0.2j, -0.2 + 0.2j, 0.2 + 0.2j,
0.3 + 0.4j, 0.1 - 1.2j, -0.8 - 0.1j, -0.4 + 0.8j,
0.8 + 1.0j, -0.5 + 0.1j, 0.1 + 1.2j, -1.7 - 0.9j)
self.helper_with_lut(
prec,
src_data,
digital.qam_16_0x0_0_1_2_3,
digital.sd_qam_16_0x0_0_1_2_3)
def test_constellation_soft_decoder_cf_qam16_8_rand(self):
prec = 8
src_data = vectorize(complex)(
2 * random.randn(100), 2 * random.randn(100))
self.helper_with_lut(
prec,
src_data,
digital.qam_16_0x0_0_1_2_3,
digital.sd_qam_16_0x0_0_1_2_3)
def test_constellation_soft_decoder_cf_qam16_8_rand2(self):
prec = 8
#src_data = vectorize(complex)(2*random.randn(100), 2*random.randn(100))
src_data = vectorize(complex)(2 * random.randn(2), 2 * random.randn(2))
self.helper_no_lut(
prec,
src_data,
digital.qam_16_0x0_0_1_2_3,
digital.sd_qam_16_0x0_0_1_2_3)
if __name__ == '__main__':
gr_unittest.run(test_constellation_soft_decoder)
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