Пример #1
0
    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)
Пример #2
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    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)
Пример #3
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    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)
Пример #4
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    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)
Пример #6
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    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)
Пример #7
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    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)
Пример #8
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    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)
Пример #9
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    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)
Пример #10
0
    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)