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#!/usr/bin/env python
#
# Copyright 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.
#
from gnuradio import gr, gr_unittest, digital, blocks
from math import sqrt
class test_constellation_soft_decoder(gr_unittest.TestCase):
def setUp(self):
self.tb = gr.top_block()
def tearDown(self):
self.tb = None
def test_constellation_soft_decoder_cf_bpsk(self):
prec = 8
src_data = (0.5 + 0.5j, 0.1 - 1.2j, -0.8 - 0.1j, -0.45 + 0.8j,
0.8 + 1.0j, -0.5 + 0.1j, 0.1 - 1.2j, 1+1j)
lut = digital.soft_dec_table_generator(digital.sd_psk_2_0x0, prec)
expected_result = list()
for s in src_data:
expected_result += digital.calc_soft_dec_from_table(s, lut, prec, Es=2/sqrt(2))
cnst_pts, code = digital.psk_2_0x0()
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() # run the graph and wait for it to finish
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, 4)
def test_constellation_soft_decoder_cf_qpsk(self):
prec = 8
src_data = (0.5 + 0.5j, 0.1 - 1.2j, -0.8 - 0.1j, -0.45 + 0.8j,
0.8 + 1.0j, -0.5 + 0.1j, 0.1 - 1.2j, 1+1j)
lut = digital.soft_dec_table_generator(digital.sd_psk_4_0x0_0_1, prec)
expected_result = list()
for s in src_data:
expected_result += digital.calc_soft_dec_from_table(s, lut, prec)
cnst_pts,code = digital.psk_4_0x0_0_1()
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() # run the graph and wait for it to finish
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 test_constellation_soft_decoder_cf_qam16(self):
prec = 8
src_data = (0.5 + 0.5j, 0.1 - 1.2j, -0.8 - 0.1j, -0.45 + 0.8j,
0.8 + 1.0j, -0.5 + 0.1j, 0.1 - 1.2j, 1+1j)
lut = digital.soft_dec_table_generator(digital.sd_qam_16_0x0_0_1_2_3, prec)
expected_result = list()
for s in src_data:
expected_result += digital.calc_soft_dec_from_table(s, lut, prec)
cnst_pts = digital.qam_16_0x0_0_1_2_3()
cnst = digital.constellation_calcdist(cnst_pts[0], cnst_pts[1], 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() # run the graph and wait for it to finish
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)
if __name__ == '__main__':
gr_unittest.run(test_constellation_soft_decoder, "test_constellation_soft_decoder.xml")
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