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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 math
from gnuradio import gr, gr_unittest, digital, filter, blocks, analog
class test_fll_band_edge_cc(gr_unittest.TestCase):
def setUp(self):
random.seed(0)
self.tb = gr.top_block()
def tearDown(self):
self.tb = None
def test01(self):
sps = 4
rolloff = 0.35
bw = 2 * math.pi / 100.0
ntaps = 45
# Create pulse shape filter
rrc_taps = filter.firdes.root_raised_cosine(
sps, sps, 1.0, rolloff, ntaps)
# The frequency offset to correct
foffset = 0.2 / (2.0 * math.pi)
# Create a set of 1's and -1's, pulse shape and interpolate to sps
random.seed(0)
data = [2.0 * random.randint(0, 2) - 1.0 for i in range(200)]
self.src = blocks.vector_source_c(data, False)
self.rrc = filter.interp_fir_filter_ccf(sps, rrc_taps)
# Mix symbols with a complex sinusoid to spin them
self.nco = analog.sig_source_c(1, analog.GR_SIN_WAVE, foffset, 1)
self.mix = blocks.multiply_cc()
# FLL will despin the symbols to an arbitrary phase
self.fll = digital.fll_band_edge_cc(sps, rolloff, ntaps, bw)
# Create sinks for all outputs of the FLL
# we will only care about the freq and error outputs
self.vsnk_frq = blocks.vector_sink_f()
self.nsnk_fll = blocks.null_sink(gr.sizeof_gr_complex)
self.nsnk_phs = blocks.null_sink(gr.sizeof_float)
self.nsnk_err = blocks.null_sink(gr.sizeof_float)
# Connect the blocks
self.tb.connect(self.nco, (self.mix, 1))
self.tb.connect(self.src, self.rrc, (self.mix, 0))
self.tb.connect(self.mix, self.fll, self.nsnk_fll)
self.tb.connect((self.fll, 1), self.vsnk_frq)
self.tb.connect((self.fll, 2), self.nsnk_phs)
self.tb.connect((self.fll, 3), self.nsnk_err)
self.tb.run()
N = 700
dst_data = self.vsnk_frq.data()[N:]
expected_result = len(dst_data) * [-0.20, ]
self.assertFloatTuplesAlmostEqual(expected_result, dst_data, 4)
if __name__ == '__main__':
gr_unittest.run(test_fll_band_edge_cc)
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