Exemplo n.º 1
0
    def helper(self, v0, v1, fft_length, preamble):
        tb = self.tb
        src0 = gr.vector_source_c(v0)
        src1 = gr.vector_source_b(v1)
        
        s2v = gr.stream_to_vector(gr.sizeof_gr_complex, fft_length)

        # print "len(v) = %d" % (len(v))

        op = digital_swig.ofdm_insert_preamble(fft_length, preamble)

        v2s = gr.vector_to_stream(gr.sizeof_gr_complex, fft_length)
        dst0 = gr.vector_sink_c()
        dst1 = gr.vector_sink_b()

        tb.connect(src0, s2v, (op, 0))
        tb.connect(src1, (op, 1))
        tb.connect((op, 0), v2s, dst0)
        tb.connect((op, 1), dst1)

        tb.run()
        r0 = dst0.data()
        r0v = []
        for i in range(len(r0)//fft_length):
            r0v.append(r0[i*fft_length:(i+1)*fft_length])
            
        r1 = dst1.data()
        self.assertEqual(len(r0v), len(r1))
        return (r1, r0v)
Exemplo n.º 2
0
    def __init__(self, options, msgq_limit=2, pad_for_usrp=True):
        """
	Hierarchical block for sending packets

        Packets to be sent are enqueued by calling send_pkt.
        The output is the complex modulated signal at baseband.

        @param options: pass modulation options from higher layers (fft length, occupied tones, etc.)
        @param msgq_limit: maximum number of messages in message queue
        @type msgq_limit: int
        @param pad_for_usrp: If true, packets are padded such that they end up a multiple of 128 samples
        """

	gr.hier_block2.__init__(self, "ofdm_mod",
				gr.io_signature(0, 0, 0),       # Input signature
				gr.io_signature(1, 1, gr.sizeof_gr_complex)) # Output signature

        self._pad_for_usrp = pad_for_usrp
        self._modulation = options.modulation
        self._fft_length = options.fft_length
        self._occupied_tones = options.occupied_tones
        self._cp_length = options.cp_length

        win = [] #[1 for i in range(self._fft_length)]

        # Use freq domain to get doubled-up known symbol for correlation in time domain
        zeros_on_left = int(math.ceil((self._fft_length - self._occupied_tones)/2.0))
        ksfreq = known_symbols_4512_3[0:self._occupied_tones]
        for i in range(len(ksfreq)):
            if((zeros_on_left + i) & 1):
                ksfreq[i] = 0

        # hard-coded known symbols
        preambles = (ksfreq,)
                
        padded_preambles = list()
        for pre in preambles:
            padded = self._fft_length*[0,]
            padded[zeros_on_left : zeros_on_left + self._occupied_tones] = pre
            padded_preambles.append(padded)
            
        symbol_length = options.fft_length + options.cp_length
        
        mods = {"bpsk": 2, "qpsk": 4, "8psk": 8, "qam8": 8, "qam16": 16, "qam64": 64, "qam256": 256}
        arity = mods[self._modulation]
        
        rot = 1
        if self._modulation == "qpsk":
            rot = (0.707+0.707j)
            
        # FIXME: pass the constellation objects instead of just the points
        if(self._modulation.find("psk") >= 0):
            constel = psk.psk_constellation(arity)
            rotated_const = map(lambda pt: pt * rot, constel.points())
        elif(self._modulation.find("qam") >= 0):
            constel = qam.qam_constellation(arity)
            rotated_const = map(lambda pt: pt * rot, constel.points())
        #print rotated_const
        self._pkt_input = digital_swig.ofdm_mapper_bcv(rotated_const,
                                                       msgq_limit,
                                                       options.occupied_tones,
                                                       options.fft_length)
        
        self.preambles = digital_swig.ofdm_insert_preamble(self._fft_length,
                                                           padded_preambles)
        self.ifft = gr.fft_vcc(self._fft_length, False, win, True)
        self.cp_adder = digital_swig.ofdm_cyclic_prefixer(self._fft_length,
                                                          symbol_length)
        self.scale = gr.multiply_const_cc(1.0 / math.sqrt(self._fft_length))
        
        self.connect((self._pkt_input, 0), (self.preambles, 0))
        self.connect((self._pkt_input, 1), (self.preambles, 1))
        self.connect(self.preambles, self.ifft, self.cp_adder, self.scale, self)
        
        if options.verbose:
            self._print_verbage()

        if options.log:
            self.connect(self._pkt_input, gr.file_sink(gr.sizeof_gr_complex*options.fft_length,
                                                       "ofdm_mapper_c.dat"))
            self.connect(self.preambles, gr.file_sink(gr.sizeof_gr_complex*options.fft_length,
                                                      "ofdm_preambles.dat"))
            self.connect(self.ifft, gr.file_sink(gr.sizeof_gr_complex*options.fft_length,
                                                 "ofdm_ifft_c.dat"))
            self.connect(self.cp_adder, gr.file_sink(gr.sizeof_gr_complex,
                                                     "ofdm_cp_adder_c.dat"))
Exemplo n.º 3
0
    def __init__(self, options, msgq_limit=2, pad_for_usrp=True):
        """
	Hierarchical block for sending packets

        Packets to be sent are enqueued by calling send_pkt.
        The output is the complex modulated signal at baseband.

        @param options: pass modulation options from higher layers (fft length, occupied tones, etc.)
        @param msgq_limit: maximum number of messages in message queue
        @type msgq_limit: int
        @param pad_for_usrp: If true, packets are padded such that they end up a multiple of 128 samples
        """

	gr.hier_block2.__init__(self, "ofdm_mod",
				gr.io_signature(0, 0, 0),       # Input signature
				gr.io_signature(1, 1, gr.sizeof_gr_complex)) # Output signature

        self._pad_for_usrp = pad_for_usrp
        self._modulation = options.modulation
        self._fft_length = options.fft_length
        self._occupied_tones = options.occupied_tones
        self._cp_length = options.cp_length

        win = [] #[1 for i in range(self._fft_length)]

        # Use freq domain to get doubled-up known symbol for correlation in time domain
        zeros_on_left = int(math.ceil((self._fft_length - self._occupied_tones)/2.0))
        # ksfreq = known_symbols_4512_3[0:self._occupied_tones]
        
	# This fixed the bug, when the occupied tones are greater that the known symbols
	ksfreq = [0] * self._occupied_tones
        known_symbols_len = len(known_symbols_4512_3)
        for i in range(self._occupied_tones):
	  ksfreq[i] = known_symbols_4512_3[i % known_symbols_len]
        for i in range(len(ksfreq)):
            if((zeros_on_left + i) & 1):
                ksfreq[i] = 0

        # hard-coded known symbols
        preambles = (ksfreq,)


                
        padded_preambles = list()
        for pre in preambles:
            padded = self._fft_length*[0,]
            padded[zeros_on_left : zeros_on_left + self._occupied_tones] = pre
            padded_preambles.append(padded)

    
        symbol_length = options.fft_length + options.cp_length

        
        mods = {"qpsk": 4, "qam16": 16, "qam64": 64}
        arity = mods[self._modulation]
        
        rot = 1
        #Create constellation objects for payload data.
        if(self._modulation.find("qpsk") >= 0):
            constel = dvbt_constellations.dvbt_qpsk_constellation(arity)            
        elif(self._modulation.find("qam16") >= 0):
	    constel = dvbt_constellations.dvbt_16qam_constellation(arity,False,mod_codes.GRAY_CODE)
	elif(self._modulation.find("qam64") >= 0):
            constel = dvbt_constellations.dvbt_64qam_constellation(arity,False,mod_codes.GRAY_CODE)
    	rotated_const = constel.points()
	print rotated_const


	#Create constellation objects for pilot signals	
	cs_constel = dvbt_constellations.dvbt_cs_pilots()
	tps_constel = dvbt_constellations.dvbt_tps_pilots()

	#print cs_constel.points()
	#print "\n"
	#print tps_constel.points()

        self._pkt_input = digital_swig.dvbt_ofdm_mapper_bcv(rotated_const,tps_constel.points(),
						        	cs_constel.points(),
						       		msgq_limit,
                                                       		options.occupied_tones,
                                                       		options.fft_length)
        
        self.preambles = digital_swig.ofdm_insert_preamble(self._fft_length,
                                                           padded_preambles)
        self.ifft = gr.fft_vcc(self._fft_length, False, win, True)
        self.cp_adder = digital_swig.ofdm_cyclic_prefixer(self._fft_length,
                                                          symbol_length)
        self.scale = gr.multiply_const_cc(1.0 / math.sqrt(self._fft_length))
        
        self.connect((self._pkt_input, 0), (self.preambles, 0))
        self.connect((self._pkt_input, 1), (self.preambles, 1))
        self.connect(self.preambles, self.ifft, self.cp_adder, self.scale, self)
        
        if options.verbose:
            self._print_verbage()

        if options.log:
            self.connect(self._pkt_input, gr.file_sink(gr.sizeof_gr_complex*options.fft_length,
                                                       "ofdm_mapper_c.dat"))
            self.connect(self.preambles, gr.file_sink(gr.sizeof_gr_complex*options.fft_length,
                                                      "ofdm_preambles.dat"))
            self.connect(self.ifft, gr.file_sink(gr.sizeof_gr_complex*options.fft_length,
                                                 "ofdm_ifft_c.dat"))
            self.connect(self.cp_adder, gr.file_sink(gr.sizeof_gr_complex,
                                                     "ofdm_cp_adder_c.dat"))
Exemplo n.º 4
0
    def __init__(self, options, msgq_limit=2, pad_for_usrp=True):
        """
	Hierarchical block for sending packets

        Packets to be sent are enqueued by calling send_pkt.
        The output is the complex modulated signal at baseband.

        @param options: pass modulation options from higher layers (fft length, occupied tones, etc.)
        @param msgq_limit: maximum number of messages in message queue
        @type msgq_limit: int
        @param pad_for_usrp: If true, packets are padded such that they end up a multiple of 128 samples
        """

	gr.hier_block2.__init__(self, "ofdm_mod",
				gr.io_signature(0, 0, 0),       # Input signature
				gr.io_signature(1, 1, gr.sizeof_gr_complex)) # Output signature

        self._pad_for_usrp = pad_for_usrp
        self._modulation = options.modulation
        self._fft_length = options.fft_length
        self._occupied_tones = options.occupied_tones
        self._cp_length = options.cp_length

        win = [] #[1 for i in range(self._fft_length)]

        # Use freq domain to get doubled-up known symbol for correlation in time domain
        zeros_on_left = int(math.ceil((self._fft_length - self._occupied_tones)/2.0))
        ksfreq = known_symbols_4512_3[0:self._occupied_tones]
        for i in range(len(ksfreq)):
            if((zeros_on_left + i) & 1):
                ksfreq[i] = 0

        # hard-coded known symbols
        preambles = (ksfreq,)

#	print preambles
        padded_preambles = list()
        for pre in preambles:
            padded = self._fft_length*[0,]
            padded[zeros_on_left : zeros_on_left + self._occupied_tones] = pre
            padded_preambles.append(padded)
#	print
#	print padded_preambles
            
        symbol_length = options.fft_length + options.cp_length
        
        mods = {"bpsk": 2, "qpsk": 4, "8psk": 8, "qam8": 8, "qam16": 16, "qam64": 64, "qam256": 256}
        arity = mods[self._modulation]
        
        rot = 1
        if self._modulation == "qpsk":
            rot = (0.707+0.707j)
            
        # FIXME: pass the constellation objects instead of just the points
        if(self._modulation.find("psk") >= 0):
            constel = psk.psk_constellation(arity)
            rotated_const = map(lambda pt: pt * rot, constel.points())
        elif(self._modulation.find("qam") >= 0):
            constel = qam.qam_constellation(arity)
            rotated_const = map(lambda pt: pt * rot, constel.points())
        #print rotated_const
        self._pkt_input = digital_swig.ofdm_mapper_bcv(rotated_const,
                                                       msgq_limit,
                                                       options.occupied_tones,
                                                       options.fft_length)
        
        self.preambles = digital_swig.ofdm_insert_preamble(self._fft_length,
                                                           padded_preambles)
        self.ifft = gr.fft_vcc(self._fft_length, False, win, True)
        self.cp_adder = digital_swig.ofdm_cyclic_prefixer(self._fft_length,
                                                          symbol_length)
        self.scale = gr.multiply_const_cc(1.0 / math.sqrt(self._fft_length))
        self.v2s = gr.vector_to_stream(gr.sizeof_gr_complex, self._fft_length+self._cp_length)
        self.connect((self._pkt_input, 0), (self.preambles, 0))
        self.connect((self._pkt_input, 1), (self.preambles, 1))
        self.connect((self._pkt_input, 2), (self.preambles, 2))
        self.connect(self.preambles, self.ifft, self.cp_adder)
        self.connect((self.preambles, 1), gr.null_sink(gr.sizeof_char))
        self.connect((self.preambles, 2), (self.cp_adder, 1))
        self.connect(self.cp_adder, self.scale, self)
        
        if options.verbose:
            self._print_verbage()

        if options.log:
            self.connect(self._pkt_input, gr.file_sink(gr.sizeof_gr_complex*options.fft_length,
                                                       "ofdm_mapper_c.dat"))
            self.connect(self.preambles, gr.file_sink(gr.sizeof_gr_complex*options.fft_length,
                                                      "ofdm_preambles.dat"))
            self.connect((self.preambles, 2), gr.file_sink(gr.sizeof_char, "ofdm_preambles_debug.dat"))
            self.connect(self.ifft, gr.file_sink(gr.sizeof_gr_complex*options.fft_length,
                                                 "ofdm_ifft_c.dat"))
            self.connect(self.cp_adder, gr.file_sink(gr.sizeof_gr_complex,
                                                     "ofdm_cp_adder_c.dat"))