Exemple #1
0
    def device_definition(options):
        """
        Definition of the devices used in the program.
        @param options
        """

        tb = OpERAFlow(name="US")

        bits_per_symbol = 2
        modulator = grc_blks2.packet_mod_b(
            digital.ofdm_mod(
                options=grc_blks2.options(
                    modulation="bpsk",
                    fft_length=512,
                    occupied_tones=200,
                    cp_length=128,
                    pad_for_usrp=True,
                    log=None,
                    verbose=None,
                )
            ),
            payload_length=0,
        )

        uhd_source = UHDSourceDummy(modulator=modulator, f=change_status_fun)
        uhd_source.pre_connect(tb)  # Gambi
        the_source = AWGNChannel(bits_per_symbol=bits_per_symbol, component=uhd_source)

        algorithm = None
        if options.sensing == "ed":
            sensing = EnergySSArch(fft_size=1024, mavg_size=1)

            algorithm = EnergyDecision(options.th)
            sink = EnergyDetector(1024, algorithm)
        elif options.sensing == "wfd":
            sensing = WaveformSSArch(fft_size=1024)

            algorithm = WaveformDecision(options.th)
            sink = WaveformDetector(1024, algorithm)
        elif options.sensing == "cfd":
            sensing = CycloSSArch(64, 16, 4)

            from sensing import CycloDecision

            algorithm = CycloDecision(64, 16, 4, options.th)
            sink = CycloDetector(64, 16, 4, algorithm)
        else:
            raise AttributeError

        radio = RadioDevice(name="radio")
        radio.add_arch(source=the_source, arch=sensing, sink=sink, uhd_device=uhd_source, name="sensing")

        tb.add_radio(radio, "radio")

        return tb, radio, algorithm
Exemple #2
0
    def device_definition(options):
        """
        Definition of the devices used in the program.
        @param options
        """

        tb = OpERAFlow(name='US')
	bits_per_symbol = 2

        modulator = grc_blks2.packet_mod_b(digital.ofdm_mod(
        		options=grc_blks2.options(
        			modulation="bpsk",
        			fft_length=512,
        			occupied_tones=200,
        			cp_length=128,
        			pad_for_usrp=True,
        			log=None,
        			verbose=None,
        		),
        	),
        	payload_length=0,
        )

        uhd_source = UHDSourceDummy(modulator=modulator)
        uhd_source.pre_connect(tb)  # Gambi
        the_source = AWGNChannel(component=uhd_source, bits_per_symbol = bits_per_symbol)

        arch1 = EnergySSArch(fft_size=1024, mavg_size=1)
        algo1 = EnergyDecision(options.th['ed'])

        if options.sensing == "wfd":
            arch2 = WaveformSSArch(fft_size=1024)
            algo2 = WaveformDecision(options.th['wfd'])
        elif options.sensing == 'cfd':
            arch2 = CycloSSArch(64, 16, 4)
	    from sensing import CycloDecision
            algo2 = CycloDecision(64, 16, 4, options.th['cfd'])
	else:
		raise AttributeError

        hier = HierarchicalSSArch(1024, algo1=algo1, algo2=algo2)

        radio = RadioDevice(name="radio")
        radio.add_arch(source=the_source, arch=arch1,   sink=(hier, 0), uhd_device=uhd_source, name='ed')
        radio.add_arch(source=the_source, arch=arch2,   sink=(hier, 1), uhd_device=uhd_source, name='sensing')
        tb.add_radio(radio, "radio")

        return tb, radio, algo1, algo1
    src = UHDSourceDummy(modulator=modulator)

    the_source = AWGNChannel(component=src)

    from sensing import CycloSSArch
    from sensing import CycloDecision

    cyclo_fam = CycloSSArch(Np, P, L)
    algorithm = CycloDecision(1024, 2, 512, 1)
    cyclo_sink = CycloDetector(Np, P, L, algorithm)

    the_source._component.set_active_freqs([1, ])
    the_source._component.set_center_freq(0)

    tb = gr.top_block()
    src.pre_connect(tb)
    cyclo_fam.pre_connect(tb)
    the_source.pre_connect(tb)

    tb.connect(the_source, cyclo_fam, cyclo_sink)
    tb.start()

    _cyclo = {'noise': {}, 'signal': {}, 'noise_max': {}, 'signal_min': {}}
    import numpy as np

    the_source._component.set_center_freq(1)
    for ebn0 in range(4, 5):
        the_source.set_ebn0(ebn0)
        _arr = []
        for i in range(500):
            time.sleep(0.05)