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-rw-r--r--gr-digital/python/digital/qa_constellation_soft_decoder_cf.py153
1 files changed, 106 insertions, 47 deletions
diff --git a/gr-digital/python/digital/qa_constellation_soft_decoder_cf.py b/gr-digital/python/digital/qa_constellation_soft_decoder_cf.py
index 6cd757537a..448e76e834 100644
--- a/gr-digital/python/digital/qa_constellation_soft_decoder_cf.py
+++ b/gr-digital/python/digital/qa_constellation_soft_decoder_cf.py
@@ -1,27 +1,28 @@
#!/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
+from numpy import random, vectorize
class test_constellation_soft_decoder(gr_unittest.TestCase):
@@ -31,16 +32,15 @@ class test_constellation_soft_decoder(gr_unittest.TestCase):
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)
+ 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:
- expected_result += digital.calc_soft_dec_from_table(s, lut, prec, Es=2/sqrt(2))
+ res = digital.calc_soft_dec_from_table(s, lut, prec, sqrt(2.0))
+ expected_result += res
- 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)
@@ -49,64 +49,123 @@ class test_constellation_soft_decoder(gr_unittest.TestCase):
self.tb.connect(src, op)
self.tb.connect(op, dst)
- self.tb.run() # run the graph and wait for it to finish
+ 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, 4)
+ self.assertFloatTuplesAlmostEqual(expected_result, actual_result, 5)
- 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)
+ 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:
- expected_result += digital.calc_soft_dec_from_table(s, lut, prec)
+ res = digital.calc_soft_dec(s, cnst.points(), code)
+ expected_result += res
- 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
+ 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 test_constellation_soft_decoder_cf_qam16(self):
+ # 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 = (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)
+ 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)
- 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()
+ 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)
- self.tb.connect(src, op)
- self.tb.connect(op, dst)
- self.tb.run() # run the graph and wait for it to finish
+ 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)
- 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_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, "test_constellation_soft_decoder.xml")
-
+ #gr_unittest.run(test_constellation_soft_decoder, "test_constellation_soft_decoder.xml")
+ gr_unittest.run(test_constellation_soft_decoder)
generated by cgit v1.2.3 (git 2.39.1) at 2025-03-27 16:27:13 +0000