diff options
Diffstat (limited to 'gr-digital/python')
| -rw-r--r-- | gr-digital/python/Makefile.am | 1 | ||||
| -rw-r--r-- | gr-digital/python/qa_clock_recovery_mm.py | 176 |
2 files changed, 177 insertions, 0 deletions
diff --git a/gr-digital/python/Makefile.am b/gr-digital/python/Makefile.am index 0f68c6ded..a6d9f779d 100644 --- a/gr-digital/python/Makefile.am +++ b/gr-digital/python/Makefile.am @@ -33,6 +33,7 @@ digitaldir = $(grpythondir)/digital noinst_PYTHON = \ qa_digital.py \ qa_binary_slicer_fb.py \ + qa_clock_recovery_mm.py \ qa_cma_equalizer.py \ qa_constellation.py \ qa_constellation_receiver.py \ diff --git a/gr-digital/python/qa_clock_recovery_mm.py b/gr-digital/python/qa_clock_recovery_mm.py new file mode 100644 index 000000000..d5394fa51 --- /dev/null +++ b/gr-digital/python/qa_clock_recovery_mm.py @@ -0,0 +1,176 @@ +#!/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. +# + +from gnuradio import gr, gr_unittest +import digital_swig, psk2 +import random, cmath + +class test_digital(gr_unittest.TestCase): + + def setUp (self): + self.tb = gr.top_block () + + def tearDown (self): + self.tb = None + + def test01 (self): + # Test complex/complex version + omega = 2 + gain_omega = 0.001 + mu = 0.5 + gain_mu = 0.01 + omega_rel_lim = 0.001 + + self.test = digital_swig.clock_recovery_mm_cc(omega, gain_omega, + mu, gain_mu, + omega_rel_lim) + + data = 100*[complex(1, 1),] + self.src = gr.vector_source_c(data, False) + self.snk = gr.vector_sink_c() + + self.tb.connect(self.src, self.test, self.snk) + self.tb.run() + + expected_result = 100*[complex(0.99972, 0.99972)] # doesn't quite get to 1.0 + dst_data = self.snk.data() + + # Only compare last Ncmp samples + Ncmp = 30 + len_e = len(expected_result) + len_d = len(dst_data) + expected_result = expected_result[len_e - Ncmp:] + dst_data = dst_data[len_d - Ncmp:] + + #print expected_result + #print dst_data + + self.assertComplexTuplesAlmostEqual (expected_result, dst_data, 5) + + + def test02 (self): + # Test float/float version + omega = 2 + gain_omega = 0.01 + mu = 0.5 + gain_mu = 0.01 + omega_rel_lim = 0.001 + + self.test = digital_swig.clock_recovery_mm_ff(omega, gain_omega, + mu, gain_mu, + omega_rel_lim) + + data = 100*[1,] + self.src = gr.vector_source_f(data, False) + self.snk = gr.vector_sink_f() + + self.tb.connect(self.src, self.test, self.snk) + self.tb.run() + + expected_result = 100*[0.99972, ] # doesn't quite get to 1.0 + dst_data = self.snk.data() + + # Only compare last Ncmp samples + Ncmp = 30 + len_e = len(expected_result) + len_d = len(dst_data) + expected_result = expected_result[len_e - Ncmp:] + dst_data = dst_data[len_d - Ncmp:] + + #print expected_result + #print dst_data + + self.assertFloatTuplesAlmostEqual (expected_result, dst_data, 5) + + + def test03 (self): + # Test complex/complex version with varying input + omega = 2 + gain_omega = 0.01 + mu = 0.25 + gain_mu = 0.1 + omega_rel_lim = 0.0001 + + self.test = digital_swig.clock_recovery_mm_cc(omega, gain_omega, + mu, gain_mu, + omega_rel_lim) + + data = 1000*[complex(1, 1), complex(1, 1), complex(-1, -1), complex(-1, -1)] + self.src = gr.vector_source_c(data, False) + self.snk = gr.vector_sink_c() + + self.tb.connect(self.src, self.test, self.snk) + self.tb.run() + + expected_result = 1000*[complex(-1.2, -1.2), complex(1.2, 1.2)] + dst_data = self.snk.data() + + # Only compare last Ncmp samples + Ncmp = 100 + len_e = len(expected_result) + len_d = len(dst_data) + expected_result = expected_result[len_e - Ncmp:] + dst_data = dst_data[len_d - Ncmp:] + + #print expected_result + #print dst_data + + self.assertComplexTuplesAlmostEqual (expected_result, dst_data, 1) + + + def test04 (self): + # Test float/float version + omega = 2 + gain_omega = 0.01 + mu = 0.25 + gain_mu = 0.1 + omega_rel_lim = 0.001 + + self.test = digital_swig.clock_recovery_mm_ff(omega, gain_omega, + mu, gain_mu, + omega_rel_lim) + + data = 1000*[1, 1, -1, -1] + self.src = gr.vector_source_f(data, False) + self.snk = gr.vector_sink_f() + + self.tb.connect(self.src, self.test, self.snk) + self.tb.run() + + expected_result = 1000*[-1.31, 1.31] + dst_data = self.snk.data() + + # Only compare last Ncmp samples + Ncmp = 100 + len_e = len(expected_result) + len_d = len(dst_data) + expected_result = expected_result[len_e - Ncmp:] + dst_data = dst_data[len_d - Ncmp:] + + #print expected_result + #print dst_data + + self.assertFloatTuplesAlmostEqual (expected_result, dst_data, 1) + + +if __name__ == '__main__': + gr_unittest.run(test_digital, "test_digital.xml") |