def test_003_data_gen(self):
        N_rb_dl = self.N_rb_dl
        subcarriers = self.subcarriers
        N_ofdm_symbols = self.N_ofdm_symbols
        tag_key = self.tag_key
        msg_buf_name = self.msg_buf_name
        cell_id = 124
        Ncp = 1
        N_ant = 2
        style= "tx_diversity"
        sfn = 0
        srcid = "source"

        nf = 4
        data = []
        for sfn in range(nf):
            mib = lte_test.pack_mib(N_rb_dl, 0, 1.0, sfn)
            bch = lte_test.encode_bch(mib, N_ant)
            pbch = lte_test.encode_pbch(bch, cell_id, N_ant, style)
            frame = lte_test.generate_phy_frame(cell_id, N_rb_dl, N_ant)
            for p in range(len(frame)):
                frame[p] = lte_test.map_pbch_to_frame_layer(frame[p], pbch[p], cell_id, sfn, p)

            stream = frame[0].flatten().tolist()
            stream = np.add(stream, frame[1].flatten().tolist() )
            data.extend(stream)
        print len(data)

        tags = lte_test.get_tag_list(140 * nf, 140, self.tag_key, srcid)

        tb2 = gr.top_block ()
        src = blocks.vector_source_c(data, False, subcarriers)
        dbg = blocks.file_sink(gr.sizeof_gr_complex * 12*N_rb_dl, "/home/johannes/tests/est_frame_data.dat")
        tb2.connect(src, dbg)
        tb2.run()
Esempio n. 2
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    def test_001_t(self):
        cell_id = 124
        N_ant = 2
        tl = 1024
        data = []
        input_data = []
        for i in range(tl / 4):
            mib = lte_test.pack_mib(50, 0, 1.0, i * 4)
            bch = tuple(lte_test.encode_bch(mib, N_ant))
            p_scrambled = lte_test.pbch_scrambling(bch, cell_id)
            input_data.extend(lte_test.nrz_encoding(p_scrambled))
            mod = lte_test.qpsk_modulation(p_scrambled)
            data.extend(mod)

        self.src.set_data(data)

        dbgs = blocks.file_sink(240 * gr.sizeof_gr_complex,
                                "/home/johannes/tests/demodulate.dat")
        self.tb.connect(self.src, dbgs)
        # set up fg
        self.tb.run()
        # check data
        res = self.snk.data()
        exp_res = tuple(
            input_data
        )  #tuple([input_data[i]/math.sqrt(2) for i in range(len(input_data))])
        print self.assertFloatTuplesAlmostEqual(res, exp_res, 5)
    def test_001_t(self):
        cell_id = 124
        N_ant = 2
        mib = lte_test.pack_mib(50, 0, 1.0, 511)
        bch = tuple(lte_test.encode_bch(mib, N_ant))
        p_scrambled = lte_test.pbch_scrambling(bch, cell_id)
        p_scrambled = lte_test.nrz_encoding(p_scrambled)
        n_bch = tuple(lte_test.nrz_encoding(bch))

        #print len(p_scrambled)
        #print p_scrambled[0:20]

        self.src.set_data(p_scrambled)  #[0:480])
        self.descr.set_cell_id(cell_id)

        # set up fg
        self.tb.run()
        res = self.snk.data()
        print len(res)

        count = 0
        for i in range(len(res) / len(n_bch)):
            part = res[len(n_bch) * i:(i + 1) * len(n_bch)]
            try:
                self.assertEqual(part, n_bch, 3)
                print str(i) + "\tSUCCESS"
            except:
                print str(i)
                count = count + 1
        print "\nresult"
        print count
        print len(res) / len(n_bch)
    def test_003_data_gen(self):
        N_rb_dl = self.N_rb_dl
        subcarriers = self.subcarriers
        N_ofdm_symbols = self.N_ofdm_symbols
        tag_key = self.tag_key
        msg_buf_name = self.msg_buf_name
        cell_id = 124
        Ncp = 1
        N_ant = 2
        style = "tx_diversity"
        sfn = 0
        srcid = "source"

        nf = 4
        data = []
        for sfn in range(nf):
            mib = lte_test.pack_mib(N_rb_dl, 0, 1.0, sfn)
            bch = lte_test.encode_bch(mib, N_ant)
            pbch = lte_test.encode_pbch(bch, cell_id, N_ant, style)
            frame = lte_test.generate_phy_frame(cell_id, N_rb_dl, N_ant)
            for p in range(len(frame)):
                frame[p] = lte_test.map_pbch_to_frame_layer(
                    frame[p], pbch[p], cell_id, sfn, p)

            stream = frame[0].flatten().tolist()
            stream = np.add(stream, frame[1].flatten().tolist())
            data.extend(stream)
        print len(data)

        tags = lte_test.get_tag_list(140 * nf, 140, self.tag_key, srcid)

        tb2 = gr.top_block()
        src = blocks.vector_source_c(data, False, subcarriers)
        tb2.run()
    def test_002_data(self):
        cell_id = 124
        N_ant = 2
        tl = 1024
        data = []
        ref_bch = []
        for i in range(tl / 4):
            mib = lte_test.pack_mib(50, 0, 1.0, i * 4)
            bch = tuple(lte_test.encode_bch(mib, N_ant))
            p_scrambled = lte_test.pbch_scrambling(bch, cell_id)
            p_scrambled = lte_test.nrz_encoding(p_scrambled)
            data.extend(p_scrambled)
            bch = tuple(lte_test.nrz_encoding(bch))
            ref_bch.extend(bch)

        self.src.set_data(data)
        self.descr.set_cell_id(cell_id)
        self.tb.run()

        res = self.snk.data()
        print len(res)

        count = 0
        for i in range(len(res) / len(ref_bch)):
            part = res[len(ref_bch) * i:(i + 1) * len(ref_bch)]
            try:
                self.assertEqual(part, ref_bch, 3)
                print str(i) + "\tSUCCESS"
            except:
                print str(i)
                count = count + 1
        print "\nresult"
        print count
        print len(res) / len(ref_bch)
Esempio n. 6
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    def test_001_generated(self):
        print "\ntest_001_generated"
        cell_id = 124
        N_ant = 2
        style = "tx_diversity"
        mib = lte_test.pack_mib(50, 0, 1.0, 511)
        bch = lte_test.encode_bch(mib, N_ant)

        scrambled = lte_test.pbch_scrambling(bch, cell_id)
        qpsk_modulated = lte_test.qpsk_modulation(scrambled)
        #print np.shape(qpsk_modulated)
        layer_mapped = lte_test.layer_mapping(qpsk_modulated, N_ant, style)
        pre_coded = lte_test.pre_coding(layer_mapped, N_ant, style)
        #print np.shape(pre_coded)

        h0 = [complex(1, 0)] * len(pre_coded[0])
        h1 = [complex(1, 0)] * len(pre_coded[1])
        stream = [pre_coded[0][i] + pre_coded[1][i] for i in range(len(pre_coded[0]))]

        self.src1.set_data(stream)
        self.src2.set_data(h0)
        self.src3.set_data(h1)
        self.tb.run()
        res = self.snk.data()

        exp_res = []
        for i in range(len(stream) / 240):
            print i
            lay0 = layer_mapped[0][i * 120:(i + 1) * 120]
            lay1 = layer_mapped[1][i * 120:(i + 1) * 120]
            comb = [lay0, lay1]
            exp_res.extend(lte_test.prepare_for_demapper_block(comb, N_ant, style))

        print "test 001 final ASSERT!"
        print self.assertComplexTuplesAlmostEqual(res, exp_res)
Esempio n. 7
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    def test_001_t(self):
        cell_id = 124
        N_ant = 2
        mib = lte_test.pack_mib(50, 0, 1.0, 511)
        bch = tuple(lte_test.encode_bch(mib, N_ant))
        p_scrambled = lte_test.pbch_scrambling(bch, cell_id)
        p_scrambled = lte_test.nrz_encoding(p_scrambled)
        n_bch = tuple(lte_test.nrz_encoding(bch))

        self.src.set_data(p_scrambled[0:480])
        self.descr.set_cell_id(cell_id)

        # set up fg
        self.tb.run()
        res = self.snk.data()

        count = 0
        for i in range(len(res) / len(n_bch)):
            part = res[len(n_bch) * i : (i + 1) * len(n_bch)]
            try:
                self.assertEqual(part, n_bch, 3)
                print str(i) + "\tSUCCESS"
            except:
                print str(i)
                count = count + 1
        print "\nresult"
        print count
        print len(res) / len(n_bch)
Esempio n. 8
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    def test_001_t(self):
        cell_id = 124
        N_ant = 2
        style = "tx_diversity"
        N_rb_dl = self.N_rb_dl
        sim_frames = 4
        self.demux.set_cell_id(cell_id)
        sfn = 512
        mib = lte_test.pack_mib(N_rb_dl, 0, 1.0, sfn)
        bch = lte_test.encode_bch(mib, N_ant)
        pbch = lte_test.encode_pbch(bch, cell_id, N_ant, style)

        stream = []
        #for i in range(sim_frames):
        #    frame = lte_test.generate_frame(pbch, N_rb_dl, cell_id, i+20, N_ant)
        #    stream.extend(frame[0].flatten())
        #
        #print len(stream)
        for i in range(sim_frames):
            frame = lte_test.generate_phy_frame(cell_id, N_rb_dl, N_ant)
            for p in range(len(frame)):
                frame[p] = lte_test.map_pbch_to_frame_layer(
                    frame[p], pbch[p], cell_id, sfn + i, p)
            stream.extend(frame[0].flatten().tolist())

        key = self.key
        srcid = "source"
        tags = lte_test.get_tag_list(140 * sim_frames, 140, key, srcid)

        self.src1.set_data(stream, tuple(tags))
        self.dbg = blocks.file_sink(gr.sizeof_gr_complex * 12 * N_rb_dl,
                                    "/home/johannes/tests/pbch_frame.dat")
        self.tb.connect(self.src1, self.dbg)
        # set up fg
        self.tb.run()
        # check data
        res1 = self.snk1.data()
        #res2 = self.snk2.data()
        #res3 = self.snk3.data()

        print len(res1)
        compare = res1[0:len(pbch[0])]

        #'''
        #partl = 10
        #for i in range(len(res1)/partl):
        #    partres = compare[partl*i:partl*(i+1)]
        #    partcom = pbch[0][partl*i:partl*(i+1)]
        #    try:
        #        self.assertComplexTuplesAlmostEqual(partcom,partres)
        #        print str(i*partl) + "\tsuccess"
        #    except:
        #        #print "\n\n\n\n\n\n"
        #        print str(i*partl) + "\t" + str(partres)
        #'''

        self.assertComplexTuplesAlmostEqual(compare,
                                            tuple(pbch[0][0:len(compare)]))
Esempio n. 9
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    def test_001_t (self):
        cell_id = 124
        N_ant = 2
        style= "tx_diversity"
        N_rb_dl = self.N_rb_dl
        sim_frames = 4
        self.demux.set_cell_id(cell_id)
        sfn = 512
        mib = lte_test.pack_mib(N_rb_dl, 0, 1.0, sfn)
        bch = lte_test.encode_bch(mib, N_ant)
        pbch = lte_test.encode_pbch(bch, cell_id, N_ant, style)

        stream = []
        #for i in range(sim_frames):
        #    frame = lte_test.generate_frame(pbch, N_rb_dl, cell_id, i+20, N_ant)
        #    stream.extend(frame[0].flatten())
        #
        #print len(stream)
        for i in range(sim_frames):
            frame = lte_test.generate_phy_frame(cell_id, N_rb_dl, N_ant)
            for p in range(len(frame)):
                frame[p] = lte_test.map_pbch_to_frame_layer(frame[p], pbch[p], cell_id, sfn+i, p)
            stream.extend(frame[0].flatten().tolist() )

        key = self.key
        srcid = "source"
        tags = lte_test.get_tag_list(140 * sim_frames, 140, key, srcid)

        self.src1.set_data(stream, tuple(tags))
        self.dbg = blocks.file_sink(gr.sizeof_gr_complex * 12*N_rb_dl, "/home/johannes/tests/pbch_frame.dat")
        self.tb.connect(self.src1, self.dbg)
        # set up fg
        self.tb.run ()
        # check data
        res1 = self.snk1.data()
        #res2 = self.snk2.data()
        #res3 = self.snk3.data()

        print len(res1)
        compare = res1[0:len(pbch[0])]

        #'''
        #partl = 10
        #for i in range(len(res1)/partl):
        #    partres = compare[partl*i:partl*(i+1)]
        #    partcom = pbch[0][partl*i:partl*(i+1)]
        #    try:
        #        self.assertComplexTuplesAlmostEqual(partcom,partres)
        #        print str(i*partl) + "\tsuccess"
        #    except:
        #        #print "\n\n\n\n\n\n"
        #        print str(i*partl) + "\t" + str(partres)
        #'''

        self.assertComplexTuplesAlmostEqual(compare, tuple(pbch[0][0:len(compare)]))
Esempio n. 10
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 def test_001_t (self):
     N_ant = 4    
     mib = lte_test.pack_mib(50,0,1.0, 511)
     bch = lte_test.encode_bch(mib, N_ant)
     bch = lte_test.nrz_encoding(bch)
     self.src.set_data(bch)
     # set up fg
     self.tb.run ()
     # check data
     res0 = self.snk0.data()
     res1 = self.snk1.data()
     print self.assertEqual(res0, tuple(mib))
     print self.assertEqual(res1, tuple([N_ant]))
Esempio n. 11
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 def test_001_t (self):
     print "demodulation test"
     mib = lte_test.pack_mib(50,0,1.0, 511)   
     bch = lte_test.encode_bch(mib, 2)
     p_scrambled = lte_test.pbch_scrambling(bch, 124)
     input_data = p_scrambled#[0:480]
     qpsk_mod = lte_test.qpsk_modulation(input_data)
     input_data = lte_test.nrz_encoding(input_data)
     
     self.src.set_data(qpsk_mod)
     # set up fg
     self.tb.run ()
     # check data
     res = self.snk.data()
     exp_res = tuple(input_data)#tuple([input_data[i]/math.sqrt(2) for i in range(len(input_data))])
     print self.assertFloatTuplesAlmostEqual(res, exp_res, 5)
    def test_002_data(self):
        cell_id = 124
        N_ant = 2
        tl = 1024
        data = []
        for i in range(tl/4):
            mib = lte_test.pack_mib(50,0,1.0, i*4)
            bch = tuple(lte_test.encode_bch(mib, N_ant))
            p_scrambled = lte_test.pbch_scrambling(bch, cell_id)
            p_scrambled = lte_test.nrz_encoding(p_scrambled)
            data.extend(p_scrambled)

        self.src.set_data(data)
        dbgs = blocks.file_sink(480 * gr.sizeof_float, "/home/johannes/tests/descramble.dat")
        self.tb.connect(self.src, dbgs)
        # set up fg
        self.tb.run ()
        pass
Esempio n. 13
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    def test_002_data(self):
        cell_id = 124
        N_ant = 2
        tl = 1024
        data = []
        for i in range(tl / 4):
            mib = lte_test.pack_mib(50, 0, 1.0, i * 4)
            bch = tuple(lte_test.encode_bch(mib, N_ant))
            p_scrambled = lte_test.pbch_scrambling(bch, cell_id)
            p_scrambled = lte_test.nrz_encoding(p_scrambled)
            data.extend(p_scrambled)

        self.src.set_data(data)
        dbgs = blocks.file_sink(480 * gr.sizeof_float,
                                "/home/johannes/tests/descramble.dat")
        self.tb.connect(self.src, dbgs)
        # set up fg
        self.tb.run()
        pass
Esempio n. 14
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    def test_003_demapping (self):
        print "\ntest_003_demapping"
        N_ant = [1,2,4]
        cell_id = 124
        mib = lte_test.pack_mib(50,0,1.0, 511)
        bch = tuple(lte_test.encode_bch(mib, N_ant[0]))
        data = lte_test.pbch_scrambling(bch, cell_id)
        style = "tx_diversity"
        self.demapper.set_decoding_style(style)
        
        mapped = [[],[],[]]
        mapped[0] = lte_test.layer_mapping(data, 1 , style)
        m2 = lte_test.layer_mapping(data, 2 , style)
        m2a = []
        for i in range(len(m2[0])/120):
            m2a.extend(m2[0][120*i:(i+1)*120])
            m2a.extend(m2[1][120*i:(i+1)*120])
        mapped[1] = m2a
        
        m4 = lte_test.layer_mapping(data, 4, style)
        m4a = []
        for i in range(len(m4[0])/60):
            m4a.extend(m4[0][i*60:(i+1)*60])
            m4a.extend(m4[1][i*60:(i+1)*60])
            m4a.extend(m4[2][i*60:(i+1)*60])
            m4a.extend(m4[3][i*60:(i+1)*60])
        mapped[2] = m4a
               
        exp_res = [complex(data[i]) for i in range(len(data))]

        for i in range(3):
            self.demapper.set_N_ant(N_ant[i])
            print "N_ant = " +str(self.demapper.get_N_ant())
            self.src.set_data(mapped[i])
            self.snk.reset()
            self.tb.run()
            res = self.snk.data()
            try:
                self.assertComplexTuplesAlmostEqual(res, tuple(exp_res) )
            except:
                print "FAILED N_ant = " +str(self.demapper.get_N_ant())
                self.assertComplexTuplesAlmostEqual(res, tuple(exp_res) )
Esempio n. 15
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    def test_003_demapping(self):
        print "\ntest_003_demapping"
        N_ant = [1, 2, 4]
        cell_id = 124
        mib = lte_test.pack_mib(50, 0, 1.0, 511)
        bch = tuple(lte_test.encode_bch(mib, N_ant[0]))
        data = lte_test.pbch_scrambling(bch, cell_id)
        style = "tx_diversity"
        self.demapper.set_decoding_style(style)

        mapped = [[], [], []]
        mapped[0] = lte_test.layer_mapping(data, 1, style)[0]
        m2 = lte_test.layer_mapping(data, 2, style)
        m2a = []
        for i in range(len(m2[0]) / 120):
            m2a.extend(m2[0][120 * i:(i + 1) * 120])
            m2a.extend(m2[1][120 * i:(i + 1) * 120])
        mapped[1] = m2a

        m4 = lte_test.layer_mapping(data, 4, style)
        m4a = []
        for i in range(len(m4[0]) / 60):
            m4a.extend(m4[0][i * 60:(i + 1) * 60])
            m4a.extend(m4[1][i * 60:(i + 1) * 60])
            m4a.extend(m4[2][i * 60:(i + 1) * 60])
            m4a.extend(m4[3][i * 60:(i + 1) * 60])
        mapped[2] = m4a

        exp_res = [complex(data[i]) for i in range(len(data))]

        for i in range(3):
            self.demapper.set_N_ant(N_ant[i])
            print "N_ant = " + str(self.demapper.get_N_ant()), np.shape(mapped[i])
            self.src.set_data(mapped[i])
            self.snk.reset()
            self.tb.run()
            res = self.snk.data()
            try:
                self.assertComplexTuplesAlmostEqual(res, tuple(exp_res))
            except:
                print "FAILED N_ant = " + str(self.demapper.get_N_ant())
                self.assertComplexTuplesAlmostEqual(res, tuple(exp_res))
Esempio n. 16
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    def test_001_generated(self):
        print "\ntest_001_generated"
        cell_id = 124
        N_ant = 2
        style = "tx_diversity"
        mib = lte_test.pack_mib(50, 0, 1.0, 511)
        bch = lte_test.encode_bch(mib, N_ant)

        scrambled = lte_test.pbch_scrambling(bch, cell_id)
        qpsk_modulated = lte_test.qpsk_modulation(scrambled)
        #print np.shape(qpsk_modulated)
        layer_mapped = lte_test.layer_mapping(qpsk_modulated, N_ant, style)
        pre_coded = lte_test.pre_coding(layer_mapped, N_ant, style)
        #print np.shape(pre_coded)

        h0 = [complex(1, 0)] * len(pre_coded[0])
        h1 = [complex(1, 0)] * len(pre_coded[1])
        stream = [
            pre_coded[0][i] + pre_coded[1][i] for i in range(len(pre_coded[0]))
        ]

        self.src1.set_data(stream)
        self.src2.set_data(h0)
        self.src3.set_data(h1)
        self.tb.run()
        res = self.snk.data()

        exp_res = []
        for i in range(len(stream) / 240):
            print i
            lay0 = layer_mapped[0][i * 120:(i + 1) * 120]
            lay1 = layer_mapped[1][i * 120:(i + 1) * 120]
            comb = [lay0, lay1]
            exp_res.extend(
                lte_test.prepare_for_demapper_block(comb, N_ant, style))

        print "test 001 final ASSERT!"
        print self.assertComplexTuplesAlmostEqual(res, exp_res)
Esempio n. 17
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    def test_001_t (self):
        cell_id = 124
        N_ant = 2
        style= "tx_diversity"
        N_rb_dl = self.N_rb_dl
        sim_frames = 4
        self.demux.set_cell_id(cell_id)
        sfn = 512
        mib = lte_test.pack_mib(N_rb_dl, 0, 1.0, sfn)
        bch = lte_test.encode_bch(mib, N_ant)
        pbch = lte_test.encode_pbch(bch, cell_id, N_ant, style)

        stream = []
        #for i in range(sim_frames):
        #    frame = lte_test.generate_frame(pbch, N_rb_dl, cell_id, i+20, N_ant)
        #    stream.extend(frame[0].flatten())
        #
        #print len(stream)
        for i in range(sim_frames):
            frame = lte_test.generate_phy_frame(cell_id, N_rb_dl, N_ant)
            for p in range(len(frame)):
                frame[p] = lte_test.map_pbch_to_frame_layer(frame[p], pbch[p], cell_id, sfn+i, p)
            stream.extend(frame[0].flatten().tolist() )

        key = self.key
        srcid = "source"
        tags = lte_test.get_tag_list(140 * sim_frames, 140, key, srcid)

        self.src1.set_data(stream, tuple(tags))
        # set up fg
        self.tb.run ()
        # check data
        res1 = self.snk1.data()

        print len(res1)
        compare = res1[0:len(pbch[0])]

        self.assertComplexTuplesAlmostEqual(compare, tuple(pbch[0][0:len(compare)]))
Esempio n. 18
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    def test_001_t(self):
        cell_id = 124
        N_ant = 2
        mib = lte_test.pack_mib(50, 0, 1.0, 511)
        bch = tuple(lte_test.encode_bch(mib, N_ant))
        p_scrambled = lte_test.pbch_scrambling(bch, cell_id)
        p_scrambled = lte_test.nrz_encoding(p_scrambled)
        n_bch = tuple(lte_test.nrz_encoding(bch))

        print len(p_scrambled)
        print p_scrambled[0:20]

        self.src.set_data(p_scrambled)  #[0:480])
        self.descr.set_cell_id(cell_id)

        #pn_seq = self.descr.pn_sequence()
        #print pn_seq[0:20]
        dbgs = blocks.file_sink(480 * gr.sizeof_float,
                                "/home/johannes/tests/descramble.dat")
        self.tb.connect(self.src, dbgs)
        # set up fg
        self.tb.run()
        res = self.snk.data()
        print len(res)

        count = 0
        for i in range(len(res) / len(n_bch)):
            part = res[len(n_bch) * i:(i + 1) * len(n_bch)]
            try:
                self.assertEqual(part, n_bch, 3)
                print str(i) + "\tSUCCESS"
            except:
                print str(i)
                count = count + 1
        print "\nresult"
        print count
        print len(res) / len(n_bch)
Esempio n. 19
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    def test_001_t(self):
        cell_id = 124
        srcid = "test_src"
        N_ant = 2
        style = "tx_diversity"
        N_rb_dl = self.N_rb_dl
        sfn = 0
        Ncp = 1
        cfi = 2

        mib = lte_test.pack_mib(50, 0, 1.0, 511)
        bch = lte_test.encode_bch(mib, N_ant)
        pbch = lte_test.encode_pbch(bch, cell_id, N_ant, style)

        exp_res = []
        for sub in range(10):
            ns = sub * 2
            pcfich = lte_test.encode_pcfich(cfi, cell_id, ns, N_ant)
            exp_res.append(pcfich[0])

        frame = lte_test.generate_frame(pbch, N_rb_dl, cell_id, sfn, N_ant)
        data = frame[0].flatten()
        taglist = lte_test.get_tag_list(len(frame[0]), 140, self.key, srcid)
        self.src0.set_data(data, taglist)

        self.demux.set_cell_id(cell_id)
        #print calculate_pcfich_pos(N_rb_dl, cell_id)
        # set up fg
        self.tb.run()
        # check data

        res = self.snk0.data()

        print "test 001 check res"
        for i in range(len(res) / len(exp_res[0])):
            part = res[i * 16:(i + 1) * 16]
            self.assertComplexTuplesAlmostEqual(part, exp_res[i])
Esempio n. 20
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    def test_001_t (self):
        cell_id = 124
        srcid = "test_src"
        N_ant = 2
        style = "tx_diversity"
        N_rb_dl = self.N_rb_dl
        sfn = 0
        Ncp = 1
        cfi = 2

        mib = lte_test.pack_mib(50,0,1.0, 511)
        bch = lte_test.encode_bch(mib, N_ant)
        pbch = lte_test.encode_pbch(bch, cell_id, N_ant, style)

        exp_res = []
        for sub in range(10):
            ns = sub * 2
            pcfich = lte_test.encode_pcfich(cfi, cell_id, ns, N_ant)
            exp_res.append(pcfich[0])

        frame = lte_test.generate_frame(pbch, N_rb_dl, cell_id, sfn, N_ant)
        data = frame[0].flatten()
        taglist = lte_test.get_tag_list(len(frame[0]), 140, self.key, srcid)
        self.src0.set_data(data, taglist)

        self.demux.set_cell_id(cell_id)
        #print calculate_pcfich_pos(N_rb_dl, cell_id)
        # set up fg
        self.tb.run()
        # check data

        res = self.snk0.data()

        print "test 001 check res"
        for i in range(len(res)/len(exp_res[0])):
            part = res[i*16:(i+1)*16]
            self.assertComplexTuplesAlmostEqual(part, exp_res[i])
    def test_001_t(self):
        cell_id = 124
        N_ant = 2
        mib = lte_test.pack_mib(50,0,1.0, 511)
        bch = tuple(lte_test.encode_bch(mib, N_ant))
        p_scrambled = lte_test.pbch_scrambling(bch, cell_id)
        p_scrambled = lte_test.nrz_encoding(p_scrambled)
        n_bch = tuple(lte_test.nrz_encoding(bch))

        print len(p_scrambled)
        print p_scrambled[0:20]

        self.src.set_data(p_scrambled)#[0:480])
        self.descr.set_cell_id(cell_id)

        #pn_seq = self.descr.pn_sequence()
        #print pn_seq[0:20]
        dbgs = blocks.file_sink(480 * gr.sizeof_float, "/home/johannes/tests/descramble.dat")
        self.tb.connect(self.src, dbgs)
        # set up fg
        self.tb.run()
        res = self.snk.data()
        print len(res)

        count = 0
        for i in range(len(res)/len(n_bch)):
            part = res[len(n_bch)*i:(i+1)*len(n_bch)]
            try:
                self.assertEqual(part, n_bch,3)
                print str(i) + "\tSUCCESS"
            except:
                print str(i)
                count = count +1
        print "\nresult"
        print count
        print len(res)/len(n_bch)
Esempio n. 22
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    def test_001_t(self):
        cell_id = 124
        N_ant = 2
        tl = 1024
        data = []
        input_data = []
        for i in range(tl / 4):
            mib = lte_test.pack_mib(50, 0, 1.0, i * 4)
            bch = tuple(lte_test.encode_bch(mib, N_ant))
            p_scrambled = lte_test.pbch_scrambling(bch, cell_id)
            input_data.extend(lte_test.nrz_encoding(p_scrambled))
            mod = lte_test.qpsk_modulation(p_scrambled)
            data.extend(mod)

        self.src.set_data(data)

        # set up fg
        self.tb.run()
        # check data
        res = self.snk.data()
        exp_res = tuple(
            input_data
        )  #tuple([input_data[i]/math.sqrt(2) for i in range(len(input_data))])
        self.assertFloatTuplesAlmostEqual(res, exp_res, 5)
Esempio n. 23
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    def test_001_t (self):
        cell_id = 124
        N_ant = 2
        tl = 1024
        data = []
        input_data = []
        for i in range(tl/4):
            mib = lte_test.pack_mib(50,0,1.0, i*4)
            bch = tuple(lte_test.encode_bch(mib, N_ant))
            p_scrambled = lte_test.pbch_scrambling(bch, cell_id)
            input_data.extend(lte_test.nrz_encoding(p_scrambled))
            mod = lte_test.qpsk_modulation(p_scrambled)
            data.extend(mod)

        self.src.set_data(data)

        dbgs = blocks.file_sink(240 * gr.sizeof_gr_complex, "/home/johannes/tests/demodulate.dat")
        self.tb.connect(self.src, dbgs)
        # set up fg
        self.tb.run ()
        # check data
        res = self.snk.data()
        exp_res = tuple(input_data)#tuple([input_data[i]/math.sqrt(2) for i in range(len(input_data))])
        print self.assertFloatTuplesAlmostEqual(res, exp_res, 5)