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qa_costas_loop_cc.py
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#!/usr/bin/env python
#
# Copyright 2011,2013 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# SPDX-License-Identifier: GPL-3.0-or-later
#
#
import random
import cmath
from gnuradio import gr, gr_unittest, digital, blocks
from gnuradio.digital import psk
class test_costas_loop_cc(gr_unittest.TestCase):
def setUp(self):
random.seed(0)
self.tb = gr.top_block()
def tearDown(self):
self.tb = None
def test01(self):
# test basic functionality by setting all gains to 0
natfreq = 0.0
order = 2
self.test = digital.costas_loop_cc(natfreq, order)
data = 100 * [complex(1, 0), ]
self.src = blocks.vector_source_c(data, False)
self.snk = blocks.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
natfreq = 0.25
order = 2
self.test = digital.costas_loop_cc(natfreq, order)
data = [complex(2 * random.randint(0, 1) - 1, 0) for i in range(100)]
self.src = blocks.vector_source_c(data, False)
self.snk = blocks.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
natfreq = 0.25
order = 2
self.test = digital.costas_loop_cc(natfreq, order)
rot = cmath.exp(0.2j) # some small rotation
data = [complex(2 * random.randint(0, 1) - 1, 0) for i in range(100)]
N = 40 # settling time
expected_result = data[N:]
data = [rot * d for d in data]
self.src = blocks.vector_source_c(data, False)
self.snk = blocks.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
natfreq = 0.25
order = 4
self.test = digital.costas_loop_cc(natfreq, 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 range(100)]
N = 40 # settling time
expected_result = data[N:]
data = [rot * d for d in data]
self.src = blocks.vector_source_c(data, False)
self.snk = blocks.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
natfreq = 0.25
order = 8
self.test = digital.costas_loop_cc(natfreq, order)
rot = cmath.exp(-cmath.pi / 8.0j) # rotate to match Costas rotation
const = psk.psk_constellation(order)
data = [random.randint(0, 7) for i in range(100)]
data = [2 * rot * const.points()[d] for d in data]
N = 40 # settling time
expected_result = data[N:]
rot = cmath.exp(0.1j) # some small rotation
data = [rot * d for d in data]
self.src = blocks.vector_source_c(data, False)
self.snk = blocks.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)
if __name__ == '__main__':
gr_unittest.run(test_costas_loop_cc)