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 xrange(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 xrange(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 xrange(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)
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 xrange(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)
def test05 (self):
# 8PSK Convergence test with static rotation
natfreq = 0.25
order = 8
self.test = digital_swig.costas_loop_cc(natfreq, order)
rot = cmath.exp(-cmath.pi/8.0j) # rotate to match Costas rotation
#const = psk.psk_constellation(order)
const_points = ((1+0j), (0.70710676908493042+0.70710676908493042j), (6.1232342629258393e-17+1j), (-0.70710676908493042+0.70710676908493042j), (-1+1.2246468525851679e-16j), (-0.70710676908493042-0.70710676908493042j), (-1.8369701465288538e-16-1j), (0.70710676908493042-0.70710676908493042j))
data = [random.randint(0,7) for i in xrange(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 = 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 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 xrange(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 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 xrange(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 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 test05(self):
# 8PSK Convergence test with static rotation
natfreq = 0.25
order = 8
self.test = digital_swig.costas_loop_cc(natfreq, order)
rot = cmath.exp(-cmath.pi / 8.0j) # rotate to match Costas rotation
#const = psk.psk_constellation(order)
const_points = ((1 + 0j), (0.70710676908493042 + 0.70710676908493042j),
(6.1232342629258393e-17 + 1j),
(-0.70710676908493042 + 0.70710676908493042j),
(-1 + 1.2246468525851679e-16j),
(-0.70710676908493042 - 0.70710676908493042j),
(-1.8369701465288538e-16 - 1j),
(0.70710676908493042 - 0.70710676908493042j))
data = [random.randint(0, 7) for i in xrange(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 = 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)