コード例 #1
0
    def setUp(self):
        self.tb = gr.top_block()

        key = "subframe"
        msg_buf_name = "cfi"
        print "setup test"

        data = []
        self.cfi_list = []
        for i in range(3):
            val = i + 1
            self.cfi_list.append(val)
            cfi = lte_test.get_cfi_sequence(val)
            data.extend(lte_test.nrz_encoding(cfi))

        reps = 5
        self.cfi_list *= reps

        srcid = "src"
        taglist = lte_test.get_tag_list(3 * reps, 10, key, srcid)

        data = [float(data[i]) for i in range(len(data))]
        ext_data = []
        for i in range(reps):
            ext_data.extend(data)
        data = ext_data

        self.src = blocks.vector_source_f(data, False, 32, taglist)
        self.cfi = lte.pcfich_unpack_vfm(key, msg_buf_name)
        self.cfi.activate_debug_mode(True)

        self.tb.connect(self.src, self.cfi)
        print "setup finished"
コード例 #2
0
 def test_004_pcfich(self):
     print "\ntest_004_pcfich"
     cell_id = 124
     ns = 0
     N_ant = 2
     vlen = 16
     style = "tx_diversity"
     self.tb2 = gr.top_block()
     self.src = blocks.vector_source_c([0]*vlen,False,vlen)
     self.demapper = lte_swig.layer_demapper_vcvc(0, vlen, style)
     self.snk = blocks.vector_sink_c(vlen)
     self.tb2.connect(self.src, self.demapper, self.snk)
     self.demapper.set_N_ant(N_ant)
     
     data = []
     exp_res = []
     for cfi in range(4):
         cfi_seq = lte_test.get_cfi_sequence(cfi+1)
         scr_cfi_seq = lte_test.scramble_cfi_sequence(cfi_seq, cell_id, ns)
         mod_cfi_seq = lte_test.qpsk_modulation(scr_cfi_seq)
         exp_res.extend(mod_cfi_seq)
         lay_cfi_seq = lte_test.layer_mapping(mod_cfi_seq, N_ant, style)
         for i in range(len(lay_cfi_seq)):
             data.extend(lay_cfi_seq[i])
             
     self.src.set_data(data)
     self.tb2.run()
     res = self.snk.data()
     self.assertComplexTuplesAlmostEqual(res, exp_res)
コード例 #3
0
    def test_004_pcfich(self):
        print "\ntest_004_pcfich"
        cell_id = 124
        ns = 0
        N_ant = 2
        vlen = 16
        style = "tx_diversity"
        self.tb2 = gr.top_block()
        self.src = blocks.vector_source_c([0] * vlen, False, vlen)
        self.demapper = lte.layer_demapper_vcvc(0, vlen, style)
        self.snk = blocks.vector_sink_c(vlen)
        self.tb2.connect(self.src, self.demapper, self.snk)
        self.demapper.set_N_ant(N_ant)

        data = []
        exp_res = []
        for cfi in range(4):
            cfi_seq = lte_test.get_cfi_sequence(cfi + 1)
            scr_cfi_seq = lte_test.scramble_cfi_sequence(cfi_seq, cell_id, ns)
            mod_cfi_seq = lte_test.qpsk_modulation(scr_cfi_seq)
            exp_res.extend(mod_cfi_seq)
            lay_cfi_seq = lte_test.layer_mapping(mod_cfi_seq, N_ant, style)
            for i in range(len(lay_cfi_seq)):
                data.extend(lay_cfi_seq[i])

        self.src.set_data(data)
        self.tb2.run()
        res = self.snk.data()
        self.assertComplexTuplesAlmostEqual(res, exp_res)
コード例 #4
0
ファイル: qa_pre_decoder_vcvc.py プロジェクト: yenmuse/gr-lte
    def test_002_pcfich(self):
        print "test_002_pcfich"

        # some constants
        cell_id = 124
        N_ant = 2
        style = "tx_diversity"
        vlen = 16
        ns = 0

        # new top_block because even the interface changes
        self.tb2 = gr.top_block()

        # generate test data together with the expected output
        data = []
        exp_res = []
        for cfi in range(4):
            cfi_seq = lte_test.get_cfi_sequence(cfi + 1)
            scr_cfi_seq = lte_test.scramble_cfi_sequence(cfi_seq, cell_id, ns)
            mod_cfi_seq = lte_test.qpsk_modulation(scr_cfi_seq)
            lay_cfi_seq = lte_test.layer_mapping(mod_cfi_seq, N_ant, style)
            lay_cfi_prep = lte_test.prepare_for_demapper_block(
                lay_cfi_seq, N_ant, style)
            exp_res.extend(lay_cfi_prep)
            pc_cfi_seq = lte_test.pre_coding(lay_cfi_seq, N_ant, style)
            pc_cfi_seq = [
                pc_cfi_seq[0][i] + pc_cfi_seq[1][i]
                for i in range(len(pc_cfi_seq[0]))
            ]
            data.extend(pc_cfi_seq)

        # dummy channel estimates
        intu2 = [complex(1, 0)] * len(data)
        intu3 = [complex(1, 0)] * len(data)

        # get blocks
        self.src1 = blocks.vector_source_c(data, False, vlen)
        self.src2 = blocks.vector_source_c(intu2, False, vlen)
        self.src3 = blocks.vector_source_c(intu3, False, vlen)
        self.pd = lte.pre_decoder_vcvc(1, 1, vlen, style)
        self.snk = blocks.vector_sink_c(vlen)

        # connect all blocks
        self.tb2.connect(self.src1, (self.pd, 0))
        self.tb2.connect(self.src2, (self.pd, 1))
        self.tb2.connect(self.src3, (self.pd, 2))
        self.tb2.connect(self.pd, self.snk)

        self.pd.set_N_ant(N_ant)

        # run flowgraph
        self.tb2.run()

        # compare result with expected result
        res = self.snk.data()

        self.assertComplexTuplesAlmostEqual(res, exp_res)
コード例 #5
0
    def test_002_pcfich(self):
        print "test_002_pcfich"

        # some constants
        cell_id = 124
        N_ant = 2
        style = "tx_diversity"
        vlen = 16
        ns = 0

        # new top_block because even the interface changes
        self.tb2 = gr.top_block()

        # generate test data together with the expected output
        data = []
        exp_res = []
        for cfi in range(4):
            cfi_seq = lte_test.get_cfi_sequence(cfi + 1)
            scr_cfi_seq = lte_test.scramble_cfi_sequence(cfi_seq, cell_id, ns)
            mod_cfi_seq = lte_test.qpsk_modulation(scr_cfi_seq)
            lay_cfi_seq = lte_test.layer_mapping(mod_cfi_seq, N_ant, style)
            lay_cfi_prep = lte_test.prepare_for_demapper_block(lay_cfi_seq, N_ant, style)
            exp_res.extend(lay_cfi_prep)
            pc_cfi_seq = lte_test.pre_coding(lay_cfi_seq, N_ant, style)
            pc_cfi_seq = [pc_cfi_seq[0][i] + pc_cfi_seq[1][i] for i in range(len(pc_cfi_seq[0]))]
            data.extend(pc_cfi_seq)

        # dummy channel estimates
        intu2 = [complex(1, 0)] * len(data)
        intu3 = [complex(1, 0)] * len(data)

        # get blocks
        self.src1 = blocks.vector_source_c(data, False, vlen)
        self.src2 = blocks.vector_source_c(intu2, False, vlen)
        self.src3 = blocks.vector_source_c(intu3, False, vlen)
        self.pd = lte.pre_decoder_vcvc(1, vlen, style)
        self.snk = blocks.vector_sink_c(vlen)

        # connect all blocks
        self.tb2.connect(self.src1, (self.pd, 0))
        self.tb2.connect(self.src2, (self.pd, 1))
        self.tb2.connect(self.src3, (self.pd, 2))
        self.tb2.connect(self.pd, self.snk)

        self.pd.set_N_ant(N_ant)

        # run flowgraph
        self.tb2.run()

        # compare result with expected result
        res = self.snk.data()

        self.assertComplexTuplesAlmostEqual(res, exp_res)
コード例 #6
0
    def test_002_pcfich(self):
        print "pcfich test"
        cfi = 2
        cell_id = 387
        vlen = 32

        # Generate descrambling sequences.
        seqs = []
        for ns in range(10):
            #scr = lte_test.scramble_cfi_sequence([0] * 32, cell_id, ns)
            scr = lte_test.get_pcfich_scrambling_sequence(cell_id, ns)
            seqs.append(lte_test.nrz_encoding(scr))

        # Generate a CFI sequence
        cfi_seq = lte_test.get_cfi_sequence(cfi)
        nrz_cfi_seq = lte_test.nrz_encoding(cfi_seq)

        # Generate scrambled sequences
        nvecs = 100
        scr_cfi_seqs = []
        expres = []
        for ns in range(nvecs):
            scr_cfi_seqs.extend(
                lte_test.nrz_encoding(
                    lte_test.scramble_cfi_sequence(cfi_seq, cell_id, ns % 10)))
            expres.extend(nrz_cfi_seq)

        # Get tags
        tags = lte_test.get_tag_list(nvecs, 10, self.tag_key, "test_src")

        # Get blocks for test flowgraph
        src = blocks.vector_source_f(scr_cfi_seqs, False, vlen)
        src.set_data(scr_cfi_seqs, tags)
        descr = lte.descrambler_vfvf(self.tag_key, "cfi_seqs", vlen)
        descr.set_descr_seqs(seqs)
        snk = blocks.vector_sink_f(vlen)

        # Create, connect, run fg
        tb = gr.top_block()
        tb.connect(src, descr, snk)
        tb.run()

        # Get result
        res = snk.data()

        # Check results!
        self.assertFloatTuplesAlmostEqual(res, expres)
コード例 #7
0
    def test_002_pcfich(self):
        print "pcfich test"
        cfi = 2
        cell_id = 387
        vlen =32

        # Generate descrambling sequences.
        seqs = []
        for ns in range(10):
            #scr = lte_test.scramble_cfi_sequence([0] * 32, cell_id, ns)
            scr = lte_test.get_pcfich_scrambling_sequence(cell_id, ns)
            seqs.append(lte_test.nrz_encoding(scr))

        # Generate a CFI sequence
        cfi_seq = lte_test.get_cfi_sequence(cfi)
        nrz_cfi_seq = lte_test.nrz_encoding(cfi_seq)

        # Generate scrambled sequences
        nvecs = 100
        scr_cfi_seqs = []
        expres = []
        for ns in range(nvecs):
            scr_cfi_seqs.extend(lte_test.nrz_encoding(lte_test.scramble_cfi_sequence(cfi_seq, cell_id, ns%10)))
            expres.extend(nrz_cfi_seq)

        # Get tags
        tags = lte_test.get_tag_list(nvecs, 10, self.tag_key, "test_src")

        # Get blocks for test flowgraph
        src = blocks.vector_source_f(scr_cfi_seqs, False, vlen)
        src.set_data(scr_cfi_seqs, tags)
        descr = lte.descrambler_vfvf(self.tag_key, "cfi_seqs", vlen)
        descr.set_descr_seqs(seqs)
        snk = blocks.vector_sink_f(vlen)

        # Create, connect, run fg
        tb = gr.top_block()
        tb.connect(src, descr, snk)
        tb.run()

        # Get result
        res = snk.data()

        # Check results!
        self.assertFloatTuplesAlmostEqual(res, expres)