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#!/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, blks2, gr_unittest
import digital_swig
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 basic functionality by setting all gains to 0
alpha = beta = max_freq = min_freq = 0.0
order = 2
self.test = digital_swig.costas_loop_cc(alpha, beta,
max_freq, min_freq,
order)
data = 100*[complex(1,0),]
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 = data
dst_data = self.snk.data()
self.assertComplexTuplesAlmostEqual (expected_result, dst_data, 5)
def test02 (self):
# Make sure it doesn't diverge given perfect data
alpha = 0.1
beta = 0.25*alpha*alpha
max_freq = 0.25
min_freq = -0.25
order = 2
self.test = digital_swig.costas_loop_cc(alpha, beta,
max_freq, min_freq,
order)
data = [complex(2*random.randint(0,1)-1, 0) for i in xrange(100)]
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 = data
dst_data = self.snk.data()
self.assertComplexTuplesAlmostEqual (expected_result, dst_data, 5)
def test03 (self):
# BPSK Convergence test with static rotation
alpha = 0.25
beta = 0.25*alpha*alpha
max_freq = 0.25
min_freq = -0.25
order = 2
self.test = digital_swig.costas_loop_cc(alpha, beta,
max_freq, min_freq,
order)
rot = cmath.exp(0.2j) # some small rotation
data = [complex(2*random.randint(0,1)-1, 0) for i in xrange(100)]
N = 40 # settling time
expected_result = data[N:]
data = [rot*d for d in data]
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()
dst_data = self.snk.data()[N:]
# generously compare results; the loop will converge near to, but
# not exactly on, the target data
self.assertComplexTuplesAlmostEqual (expected_result, dst_data, 2)
def test04 (self):
# QPSK Convergence test with static rotation
alpha = 0.25
beta = 0.25*alpha*alpha
max_freq = 0.25
min_freq = -0.25
order = 4
self.test = digital_swig.costas_loop_cc(alpha, beta,
max_freq, min_freq,
order)
rot = cmath.exp(0.2j) # some small rotation
data = [complex(2*random.randint(0,1)-1, 2*random.randint(0,1)-1)
for i in xrange(100)]
N = 40 # settling time
expected_result = data[N:]
data = [rot*d for d in data]
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()
dst_data = self.snk.data()[N:]
# generously compare results; the loop will converge near to, but
# not exactly on, the target data
self.assertComplexTuplesAlmostEqual (expected_result, dst_data, 2)
def test05 (self):
# 8PSK Convergence test with static rotation
alpha = 0.25
beta = 0.25*alpha*alpha
max_freq = 0.25
min_freq = -0.25
order = 8
self.test = digital_swig.costas_loop_cc(alpha, beta,
max_freq, min_freq,
order)
rot = cmath.exp(cmath.pi/16.0j) # some small rotation
const = blks2.psk.make_constellation(order)
data = [random.randint(0,7) for i in xrange(100)]
data = [rot*const[d] for d in data]
N = 40 # settling time
expected_result = data[N:]
data = [rot*d for d in data]
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()
dst_data = self.snk.data()[N:]
print expected_result
print dst_data
# generously compare results; the loop will converge near to, but
# not exactly on, the target data
self.assertComplexTuplesAlmostEqual (expected_result, dst_data, 2)
if __name__ == '__main__':
gr_unittest.run(test_digital, "test_digital.xml")
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