diff options
Diffstat (limited to 'gnuradio-core/src/python/gnuradio/blksimpl')
| -rw-r--r-- | gnuradio-core/src/python/gnuradio/blksimpl/Makefile.am | 7 | ||||
| -rw-r--r-- | gnuradio-core/src/python/gnuradio/blksimpl/ofdm.py (renamed from gnuradio-core/src/python/gnuradio/blksimpl/ofdm_pkt.py) | 151 | ||||
| -rw-r--r-- | gnuradio-core/src/python/gnuradio/blksimpl/ofdm_receiver.py | 19 | ||||
| -rw-r--r-- | gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_fixed.py | 41 | ||||
| -rw-r--r-- | gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_ml.py (renamed from gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync.py) | 76 | ||||
| -rw-r--r-- | gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_pn.py | 135 | ||||
| -rw-r--r-- | gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_pnac.py | 126 |
7 files changed, 459 insertions, 96 deletions
diff --git a/gnuradio-core/src/python/gnuradio/blksimpl/Makefile.am b/gnuradio-core/src/python/gnuradio/blksimpl/Makefile.am index b8c8001101..71598354c1 100644 --- a/gnuradio-core/src/python/gnuradio/blksimpl/Makefile.am +++ b/gnuradio-core/src/python/gnuradio/blksimpl/Makefile.am @@ -40,9 +40,12 @@ grblkspython_PYTHON = \ cpm.py \ nbfm_rx.py \ nbfm_tx.py \ - ofdm_pkt.py \ + ofdm.py \ ofdm_receiver.py \ - ofdm_sync.py \ + ofdm_sync_fixed.py \ + ofdm_sync_ml.py \ + ofdm_sync_pnac.py \ + ofdm_sync_pn.py \ pkt.py \ psk.py \ qam.py \ diff --git a/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_pkt.py b/gnuradio-core/src/python/gnuradio/blksimpl/ofdm.py index 9a98b374b0..74a674cb5e 100644 --- a/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_pkt.py +++ b/gnuradio-core/src/python/gnuradio/blksimpl/ofdm.py @@ -1,6 +1,6 @@ # -# Copyright 2005,2006,2007 Free Software Foundation, Inc. +# Copyright 2006,2007 Free Software Foundation, Inc. # # This file is part of GNU Radio # @@ -21,7 +21,7 @@ # import math -from math import pi +from numpy import fft from gnuradio import gr, ofdm_packet_utils import gnuradio.gr.gr_threading as _threading @@ -32,10 +32,11 @@ from gnuradio.blksimpl.ofdm_receiver import ofdm_receiver # mod/demod with packets as i/o # ///////////////////////////////////////////////////////////////////////////// -class mod_ofdm_pkts(gr.hier_block): +class ofdm_mod(gr.hier_block): """ - Wrap an arbitrary digital modulator in our packet handling framework. - + Modulates an OFDM stream. Based on the options fft_length, occupied_tones, and + cp_length, this block creates OFDM symbols using a specified modulation option. + Send packets by calling send_pkt """ def __init__(self, fg, options, msgq_limit=2, pad_for_usrp=True): @@ -47,35 +48,62 @@ class mod_ofdm_pkts(gr.hier_block): @param fg: flow graph @type fg: flow graph + @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 - - See modulators for remaining parameters """ + 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)] - # hard-coded known symbol - ks1 = known_symbols_4512_1[0:options.occupied_tones] - #ks1 = known_symbols_4512_impulse[0:options.occupied_tones] - ks2 = known_symbols_4512_2[0:options.occupied_tones] - + # 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, + known_symbols_4512_1[0:self._occupied_tones], + known_symbols_4512_2[0:self._occupied_tones]) + + 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 - # accepts messages from the outside world - self._pkt_input = gr.ofdm_bpsk_mapper(msgq_limit, options.occupied_tones, options.fft_length, ks1, ks2) - self.ifft = gr.fft_vcc(options.fft_length, False, win, True) - self.cp_adder = gr.ofdm_cyclic_prefixer(options.fft_length, symbol_length) - self.scale = gr.multiply_const_cc(1.0 / math.sqrt(options.fft_length)) - - fg.connect(self._pkt_input, self.ifft, self.cp_adder, self.scale) - + # The next step will all us to pass a constellation into a generic mapper function instead + # of using these hard-coded versions + if self._modulation == "bpsk": + self._pkt_input = gr.ofdm_bpsk_mapper(msgq_limit, options.occupied_tones, options.fft_length) + elif self._modulation == "qpsk": + self._pkt_input = gr.ofdm_qpsk_mapper(msgq_limit, options.occupied_tones, options.fft_length) + else: + print "Modulation type not supported (must be \"bpsk\" or \"qpsk\"" + + self.preambles = gr.ofdm_insert_preamble(self._fft_length, padded_preambles) + self.ifft = gr.fft_vcc(self._fft_length, False, win, True) + self.cp_adder = gr.ofdm_cyclic_prefixer(self._fft_length, symbol_length) + self.scale = gr.multiply_const_cc(1.0 / math.sqrt(self._fft_length)) + + fg.connect((self._pkt_input, 0), (self.preambles, 0)) + fg.connect((self._pkt_input, 1), (self.preambles, 1)) + fg.connect(self.preambles, self.ifft, self.cp_adder, self.scale) + if options.verbose: self._print_verbage() - if 1: + if options.log: fg.connect(self._pkt_input, gr.file_sink(gr.sizeof_gr_complex*options.fft_length, "ofdm_mapper_c.dat")) gr.hier_block.__init__(self, fg, None, self.scale) @@ -91,25 +119,18 @@ class mod_ofdm_pkts(gr.hier_block): msg = gr.message(1) # tell self._pkt_input we're not sending any more packets else: # print "original_payload =", string_to_hex_list(payload) - pkt = ofdm_packet_utils.make_packet(payload, - self.samples_per_symbol(), - self.bits_per_symbol(), - self._pad_for_usrp) + pkt = ofdm_packet_utils.make_packet(payload, 1, 1, self._pad_for_usrp) + #print "pkt =", string_to_hex_list(pkt) msg = gr.message_from_string(pkt) self._pkt_input.msgq().insert_tail(msg) - def samples_per_symbol(self): - return 2 - - def bits_per_symbol(self=None): # staticmethod that's also callable on an instance - return 1 - bits_per_symbol = staticmethod(bits_per_symbol) # make it a static method. RTFM - def add_options(normal, expert): """ Adds OFDM-specific options to the Options Parser """ + normal.add_option("-m", "--modulation", type="string", default="bpsk", + help="set modulation type (bpsk or qpsk) [default=%default]") expert.add_option("", "--fft-length", type="intx", default=512, help="set the number of FFT bins [default=%default]") expert.add_option("", "--occupied-tones", type="intx", default=200, @@ -124,14 +145,17 @@ class mod_ofdm_pkts(gr.hier_block): Prints information about the OFDM modulator """ print "\nOFDM Modulator:" + print "Modulation Type: %s" % (self._modulation) print "FFT length: %3d" % (self._fft_length) print "Occupied Tones: %3d" % (self._occupied_tones) print "CP length: %3d" % (self._cp_length) -class demod_ofdm_pkts(gr.hier_block): +class ofdm_demod(gr.hier_block): """ - Wrap an arbitrary digital demodulator in our packet handling framework. + Demodulates a received OFDM stream. Based on the options fft_length, occupied_tones, and + cp_length, this block performs synchronization, FFT, and demodulation of incoming OFDM + symbols and passes packets up the a higher layer. The input is complex baseband. When packets are demodulated, they are passed to the app via the callback. @@ -146,38 +170,64 @@ class demod_ofdm_pkts(gr.hier_block): @param fg: flow graph @type fg: flow graph - @param demodulator: instance of demodulator class (gr_block or hier_block) - @type demodulator: complex baseband in + @param options: pass modulation options from higher layers (fft length, occupied tones, etc.) @param callback: function of two args: ok, payload @type callback: ok: bool; payload: string """ self._rcvd_pktq = gr.msg_queue() # holds packets from the PHY - ks1 = known_symbols_4512_1[0:options.occupied_tones] - #ks1 = known_symbols_4512_impulse[0:options.occupied_tones] - ks2 = known_symbols_4512_2[0:options.occupied_tones] + self._modulation = options.modulation + self._fft_length = options.fft_length + self._occupied_tones = options.occupied_tones + self._cp_length = options.cp_length + self._snr = options.snr + + + # Use freq domain to get doubled-up known symbol for correlation in time domain + ksfreq = known_symbols_4512_3[0:self._occupied_tones] + for i in range(len(ksfreq)): + if(i&1): + ksfreq[i] = 0 + + zeros_on_left = int(math.ceil((self._fft_length - self._occupied_tones)/2.0)) + zeros_on_right = self._fft_length - self._occupied_tones - zeros_on_left + ks0 = zeros_on_left*[0.0,] + ks0.extend(ksfreq) + ks0.extend(zeros_on_right*[0.0,]) - symbol_length = options.fft_length + options.cp_length - self.ofdm_recv = ofdm_receiver(fg, options.fft_length, options.cp_length, - options.occupied_tones, options.snr, ks1, ks2) + ks0time = fft.ifft(ks0) + # ADD SCALING FACTOR + ks0time = ks0time.tolist() + + # hard-coded known symbols + preambles = (ks0time, + known_symbols_4512_1[0:self._occupied_tones], + known_symbols_4512_2[0:self._occupied_tones]) + + symbol_length = self._fft_length + self._cp_length + self.ofdm_recv = ofdm_receiver(fg, self._fft_length, self._cp_length, + self._occupied_tones, self._snr, preambles, + options.log) self.ofdm_demod = gr.ofdm_frame_sink(self._rcvd_pktq, - options.occupied_tones) + self._occupied_tones, + self._modulation) fg.connect((self.ofdm_recv, 0), (self.ofdm_demod, 0)) fg.connect((self.ofdm_recv, 1), (self.ofdm_demod, 1)) + if options.verbose: + self._print_verbage() + gr.hier_block.__init__(self, fg, self.ofdm_recv, None) self._watcher = _queue_watcher_thread(self._rcvd_pktq, callback) - def bits_per_symbol(self=None): # staticmethod that's also callable on an instance - return 1 - bits_per_symbol = staticmethod(bits_per_symbol) # make it a static method. RTFM - def add_options(normal, expert): """ Adds OFDM-specific options to the Options Parser """ + normal.add_option("-m", "--modulation", type="string", default="bpsk", + help="set modulation type (bpsk or qpsk) [default=%default]") expert.add_option("", "--fft-length", type="intx", default=512, help="set the number of FFT bins [default=%default]") expert.add_option("", "--occupied-tones", type="intx", default=200, @@ -192,6 +242,7 @@ class demod_ofdm_pkts(gr.hier_block): Prints information about the OFDM demodulator """ print "\nOFDM Demodulator:" + print "Modulation Type: %s" % (self._modulation) print "FFT length: %3d" % (self._fft_length) print "Occupied Tones: %3d" % (self._occupied_tones) print "CP length: %3d" % (self._cp_length) @@ -215,15 +266,19 @@ class _queue_watcher_thread(_threading.Thread): if self.callback: self.callback(ok, payload) +# Generating known symbols with: +# i = [2*random.randint(0,1)-1 for i in range(4512)] + known_symbols_200_1 = [1.0, 1.0, -1.0, 1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, -1.0, 1.0, 1.0, -1.0, 1.0, -1.0, -1.0, 1.0, -1.0, -1.0, 1.0, -1.0, -1.0, 1.0, -1.0, -1.0, 1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, -1.0, 1.0, -1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, 1.0, -1.0, -1.0, 1.0, -1.0, -1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, -1.0, 1.0, 1.0, -1.0, 1.0, -1.0, 1.0, 1.0, -1.0, 1.0, 1.0, -1.0, 1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, -1.0, -1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, 1.0, 1.0, 1.0, -1.0, -1.0, 1.0, 1.0, -1.0, 1.0, 1.0, 1.0, -1.0, -1.0, 1.0, -1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, 1.0, 1.0, -1.0, 1.0, 1.0, 1.0, -1.0, 1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, 1.0, -1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, -1.0, -1.0, -1.0, 1.0, -1.0, -1.0, -1.0, 1.0, 1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, 1.0, 1.0, 1.0, -1.0, 1.0, 1.0, -1.0] known_symbols_200_2 = [-1.0, -1.0, -1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, 1.0, 1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, -1.0, -1.0, 1.0, -1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, -1.0, -1.0, 1.0, 1.0, -1.0, -1.0, 1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, 1.0, 1.0, -1.0, -1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, 1.0, 1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, -1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, 1.0, 1.0, -1.0, 1.0, -1.0, 1.0, 1.0, 1.0, -1.0, -1.0, 1.0, 1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, -1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, 1.0, -1.0, -1.0, 1.0, -1.0, -1.0, 1.0, -1.0, 1.0, 1.0, 1.0, -1.0, -1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, 1.0, 1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, 1.0, -1.0, 1.0, 1.0, 1.0, 1.0, -1.0, 1.0, 1.0, -1.0, 1.0, -1.0, -1.0, -1.0, 1.0, 1.0, -1.0, -1.0, 1.0, 1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, -1.0, -1.0, 1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, -1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0] - known_symbols_4512_1 = [-1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 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-1, -1, -1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, -1, 1, -1] diff --git a/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_receiver.py b/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_receiver.py index e2f5932836..22ec41f1d9 100644 --- a/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_receiver.py +++ b/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_receiver.py @@ -22,10 +22,12 @@ import math from gnuradio import gr -from gnuradio.blksimpl.ofdm_sync import ofdm_sync +from gnuradio.blksimpl.ofdm_sync_ml import ofdm_sync_ml +from gnuradio.blksimpl.ofdm_sync_pn import ofdm_sync_pn +from gnuradio.blksimpl.ofdm_sync_pnac import ofdm_sync_pnac class ofdm_receiver(gr.hier_block): - def __init__(self, fg, fft_length, cp_length, occupied_tones, snr, ks1, ks2): + def __init__(self, fg, fft_length, cp_length, occupied_tones, snr, ks, logging=False): self.fg = fg bw = (float(occupied_tones) / float(fft_length)) / 2.0 @@ -39,14 +41,21 @@ class ofdm_receiver(gr.hier_block): win = [1 for i in range(fft_length)] - self.ofdm_sync = ofdm_sync(fg, fft_length, cp_length, snr) + SYNC = "pn" + if SYNC == "ml": + self.ofdm_sync = ofdm_sync_ml(fg, fft_length, cp_length, snr, logging) + elif SYNC == "pn": + self.ofdm_sync = ofdm_sync_pn(fg, fft_length, cp_length, logging) + elif SYNC == "pnac": + self.ofdm_sync = ofdm_sync_pnac(fg, fft_length, cp_length, ks[0]) + self.fft_demod = gr.fft_vcc(fft_length, True, win, True) self.ofdm_corr = gr.ofdm_correlator(occupied_tones, fft_length, - cp_length, ks1, ks2) + cp_length, ks[1], ks[2]) self.fg.connect(self.chan_filt, self.ofdm_sync, self.fft_demod, self.ofdm_corr) - if 1: + if logging: self.fg.connect(self.chan_filt, gr.file_sink(gr.sizeof_gr_complex, "chan_filt_c.dat")) self.fg.connect(self.fft_demod, gr.file_sink(gr.sizeof_gr_complex*fft_length, "fft_out_c.dat")) self.fg.connect(self.ofdm_corr, gr.file_sink(gr.sizeof_gr_complex*occupied_tones, "ofdm_corr_out_c.dat")) diff --git a/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_fixed.py b/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_fixed.py new file mode 100644 index 0000000000..bd5f4b8707 --- /dev/null +++ b/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_fixed.py @@ -0,0 +1,41 @@ +#!/usr/bin/env python +# +# Copyright 2007 Free Software Foundation, Inc. +# +# This file is part of GNU Radio +# +# GNU Radio is free software; you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation; either version 2, or (at your option) +# any later version. +# +# GNU Radio is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with GNU Radio; see the file COPYING. If not, write to +# the Free Software Foundation, Inc., 51 Franklin Street, +# Boston, MA 02110-1301, USA. +# + +import math +from gnuradio import gr + +class ofdm_sync_fixed(gr.hier_block): + def __init__(self, fg, fft_length, cp_length, snr): + self.fg = fg + + # Use a fixed trigger point instead of sync block + data = (fft_length+cp_len)*[0,] + data[(fft_length+cp_len)-1] = 1 + peak_trigger = gr.vector_source_b(data, True) + + self.fg.connect(peak_trigger, (self.sampler,1)) + + if 1: + self.fg.connect(self.sampler, gr.file_sink(gr.sizeof_gr_complex*fft_length, + "ofdm_sync_fixed-sampler_c.dat")) + + gr.hier_block.__init__(self, fg, (self.sampler,0), self.sampler) diff --git a/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync.py b/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_ml.py index 271be93def..6944cb81c5 100644 --- a/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync.py +++ b/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_ml.py @@ -23,10 +23,20 @@ import math from gnuradio import gr -class ofdm_sync(gr.hier_block): - def __init__(self, fg, fft_length, cp_length, snr): +class ofdm_sync_ml(gr.hier_block): + def __init__(self, fg, fft_length, cp_length, snr, logging): + ''' Maximum Likelihood OFDM synchronizer: + J. van de Beek, M. Sandell, and P. O. Borjesson, "ML Estimation + of Time and Frequency Offset in OFDM Systems," IEEE Trans. + Signal Processing, vol. 45, no. 7, pp. 1800-1805, 1997. + ''' + self.fg = fg + # FIXME: when converting to hier_block2's, the output signature + # should be the output of the divider (the normalized peaks) and + # the angle value out of the sample and hold block + self.input = gr.add_const_cc(0) SNR = 10.0**(snr/10.0) @@ -77,13 +87,12 @@ class ofdm_sync(gr.hier_block): self.fg.connect(self.moving_sum_filter,(self.diff,1)) #ML measurements input to sampler block and detect - nco_sensitivity = 1.0/fft_length + nco_sensitivity = -1.0/fft_length self.f2c = gr.float_to_complex() self.sampler = gr.ofdm_sampler(fft_length,symbol_length) self.pk_detect = gr.peak_detector_fb(0.2, 0.25, 30, 0.0005) self.sample_and_hold = gr.sample_and_hold_ff() self.nco = gr.frequency_modulator_fc(nco_sensitivity) - self.inv = gr.multiply_const_ff(-1) self.sigmix = gr.multiply_cc() # Mix the signal with an NCO controlled by the sync loop @@ -96,46 +105,31 @@ class ofdm_sync(gr.hier_block): # self.angle = epsilon self.fg.connect(self.diff, self.pk_detect) - use_dpll = 1 - fixed_timing = 0 - if fixed_timing: - # Use a fixed trigger point instead of sync block - peak_null = gr.null_sink(gr.sizeof_char) - data = 640*[0,] - data[639] = 1 - peak_trigger = gr.vector_source_b(data, True) - - self.fg.connect(self.pk_detect, peak_null) - self.fg.connect(peak_trigger, (self.sampler,1)) - self.fg.connect(peak_trigger, (self.sample_and_hold,1)) - else: + use_dpll = 1 + if use_dpll: self.dpll = gr.dpll_bb(float(symbol_length),0.01) - if use_dpll: - self.fg.connect(self.pk_detect, self.dpll) - self.fg.connect(self.dpll, (self.sampler,1)) - self.fg.connect(self.dpll, (self.sample_and_hold,1)) - else: - self.fg.connect(self.pk_detect, (self.sampler,1)) - self.fg.connect(self.pk_detect, (self.sample_and_hold,1)) + self.fg.connect(self.pk_detect, self.dpll) + self.fg.connect(self.dpll, (self.sampler,1)) + self.fg.connect(self.dpll, (self.sample_and_hold,1)) + else: + self.fg.connect(self.pk_detect, (self.sampler,1)) + self.fg.connect(self.pk_detect, (self.sample_and_hold,1)) self.fg.connect(self.angle, (self.sample_and_hold,0)) - self.fg.connect(self.sample_and_hold, self.inv, self.nco) - - if 1: - self.fg.connect(self.diff, gr.file_sink(gr.sizeof_float, "theta_f.dat")) - self.fg.connect(self.angle, gr.file_sink(gr.sizeof_float, "epsilon_f.dat")) - if fixed_timing: - self.fg.connect(peak_trigger, gr.file_sink(gr.sizeof_char, "peaks_b.dat")) - else: - self.fg.connect(self.pk_detect, gr.file_sink(gr.sizeof_char, "peaks_b.dat")) - if use_dpll: - self.fg.connect(self.dpll, gr.file_sink(gr.sizeof_char, "dpll_b.dat")) - - self.fg.connect(self.sigmix, gr.file_sink(gr.sizeof_gr_complex, "sigmix_c.dat")) - self.fg.connect(self.sampler, gr.file_sink(gr.sizeof_gr_complex*fft_length, "sampler_c.dat")) - self.fg.connect(self.sample_and_hold, gr.file_sink(gr.sizeof_float, "sample_and_hold_f.dat")) - self.fg.connect(self.nco, gr.file_sink(gr.sizeof_gr_complex, "nco_c.dat")) - self.fg.connect(self.input, gr.file_sink(gr.sizeof_gr_complex, "input_c.dat")) + self.fg.connect(self.sample_and_hold, self.nco) + + if logging: + self.fg.connect(self.diff, gr.file_sink(gr.sizeof_float, "ofdm_sync_ml-theta_f.dat")) + self.fg.connect(self.angle, gr.file_sink(gr.sizeof_float, "ofdm_sync_ml-epsilon_f.dat")) + self.fg.connect(self.pk_detect, gr.file_sink(gr.sizeof_char, "ofdm_sync_ml-peaks_b.dat")) + if use_dpll: + self.fg.connect(self.dpll, gr.file_sink(gr.sizeof_char, "ofdm_sync_ml-dpll_b.dat")) + + self.fg.connect(self.sigmix, gr.file_sink(gr.sizeof_gr_complex, "ofdm_sync_ml-sigmix_c.dat")) + self.fg.connect(self.sampler, gr.file_sink(gr.sizeof_gr_complex*fft_length, "ofdm_sync_ml-sampler_c.dat")) + self.fg.connect(self.sample_and_hold, gr.file_sink(gr.sizeof_float, "ofdm_sync_ml-sample_and_hold_f.dat")) + self.fg.connect(self.nco, gr.file_sink(gr.sizeof_gr_complex, "ofdm_sync_ml-nco_c.dat")) + self.fg.connect(self.input, gr.file_sink(gr.sizeof_gr_complex, "ofdm_sync_ml-input_c.dat")) gr.hier_block.__init__(self, fg, self.input, self.sampler) diff --git a/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_pn.py b/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_pn.py new file mode 100644 index 0000000000..a49ff84f9c --- /dev/null +++ b/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_pn.py @@ -0,0 +1,135 @@ +#!/usr/bin/env python +# +# Copyright 2007 Free Software Foundation, Inc. +# +# This file is part of GNU Radio +# +# GNU Radio is free software; you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation; either version 2, or (at your option) +# any later version. +# +# GNU Radio is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with GNU Radio; see the file COPYING. If not, write to +# the Free Software Foundation, Inc., 51 Franklin Street, +# Boston, MA 02110-1301, USA. +# + +import math +from numpy import fft +from gnuradio import gr + +class ofdm_sync_pn(gr.hier_block): + def __init__(self, fg, fft_length, cp_length, logging=False): + ''' OFDM synchronization using PN Correlation: + T. M. Schmidl and D. C. Cox, "Robust Frequency and Timing + Synchonization for OFDM," IEEE Trans. Communications, vol. 45, + no. 12, 1997. + ''' + + self.fg = fg + + # FIXME: when converting to hier_block2's, the output signature + # should be the output of the divider (the normalized peaks) and + # the angle value out of the sample and hold block + + self.input = gr.add_const_cc(0) + + symbol_length = fft_length + cp_length + + # PN Sync + + # Create a delay line + self.delay = gr.delay(gr.sizeof_gr_complex, fft_length/2) + + # Correlation from ML Sync + self.conjg = gr.conjugate_cc(); + self.corr = gr.multiply_cc(); + + # Create a moving sum filter for the corr output + if 1: + moving_sum_taps = [1.0 for i in range(fft_length//2)] + self.moving_sum_filter = gr.fir_filter_ccf(1,moving_sum_taps) + else: + moving_sum_taps = [complex(1.0,0.0) for i in range(fft_length//2)] + self.moving_sum_filter = gr.fft_filter_ccc(1,moving_sum_taps) + + # Create a moving sum filter for the input + self.inputmag2 = gr.complex_to_mag_squared() + movingsum2_taps = [1.0 for i in range(fft_length//2)] + + if 1: + self.inputmovingsum = gr.fir_filter_fff(1,movingsum2_taps) + else: + self.inputmovingsum = gr.fft_filter_fff(1,movingsum2_taps) + + self.square = gr.multiply_ff() + self.normalize = gr.divide_ff() + + # Get magnitude (peaks) and angle (phase/freq error) + self.c2mag = gr.complex_to_mag_squared() + self.angle = gr.complex_to_arg() + + self.sample_and_hold = gr.sample_and_hold_ff() + + # Mix the signal with an NCO controlled by the sync loop + nco_sensitivity = -2.0/fft_length + self.nco = gr.frequency_modulator_fc(nco_sensitivity) + self.sigmix = gr.multiply_cc() + + #ML measurements input to sampler block and detect + self.sub1 = gr.add_const_ff(-1) + self.pk_detect = gr.peak_detector_fb(0.2, 0.25, 30, 0.0005) + self.regen = gr.regenerate_bb(symbol_length) + + self.sampler = gr.ofdm_sampler(fft_length,symbol_length) + + self.fg.connect(self.input, self.delay) + self.fg.connect(self.input, (self.corr,0)) + self.fg.connect(self.delay, self.conjg) + self.fg.connect(self.conjg, (self.corr,1)) + self.fg.connect(self.corr, self.moving_sum_filter) + self.fg.connect(self.moving_sum_filter, self.c2mag) + self.fg.connect(self.moving_sum_filter, self.angle) + self.fg.connect(self.angle, (self.sample_and_hold,0)) + self.fg.connect(self.sample_and_hold, self.nco) + + self.fg.connect(self.input, (self.sigmix,0)) + self.fg.connect(self.nco, (self.sigmix,1)) + self.fg.connect(self.sigmix, (self.sampler,0)) + + self.fg.connect(self.input, self.inputmag2, self.inputmovingsum) + self.fg.connect(self.inputmovingsum, (self.square,0)) + self.fg.connect(self.inputmovingsum, (self.square,1)) + self.fg.connect(self.square, (self.normalize,1)) + self.fg.connect(self.c2mag, (self.normalize,0)) + + # Create a moving sum filter for the corr output + matched_filter_taps = [1.0/cp_length for i in range(cp_length)] + self.matched_filter = gr.fir_filter_fff(1,matched_filter_taps) + self.fg.connect(self.normalize, self.matched_filter) + + self.fg.connect(self.matched_filter, self.sub1, self.pk_detect) + self.fg.connect(self.pk_detect, self.regen) + self.fg.connect(self.regen, (self.sampler,1)) + self.fg.connect(self.pk_detect, (self.sample_and_hold,1)) + + + if logging: + self.fg.connect(self.matched_filter, gr.file_sink(gr.sizeof_float, "ofdm_sync_pn-mf_f.dat")) + self.fg.connect(self.normalize, gr.file_sink(gr.sizeof_float, "ofdm_sync_pn-theta_f.dat")) + self.fg.connect(self.angle, gr.file_sink(gr.sizeof_float, "ofdm_sync_pn-epsilon_f.dat")) + self.fg.connect(self.pk_detect, gr.file_sink(gr.sizeof_char, "ofdm_sync_pn-peaks_b.dat")) + self.fg.connect(self.regen, gr.file_sink(gr.sizeof_char, "ofdm_sync_pn-regen_b.dat")) + self.fg.connect(self.sigmix, gr.file_sink(gr.sizeof_gr_complex, "ofdm_sync_pn-sigmix_c.dat")) + self.fg.connect(self.sampler, gr.file_sink(gr.sizeof_gr_complex*fft_length, "ofdm_sync_pn-sampler_c.dat")) + self.fg.connect(self.sample_and_hold, gr.file_sink(gr.sizeof_float, "ofdm_sync_pn-sample_and_hold_f.dat")) + self.fg.connect(self.nco, gr.file_sink(gr.sizeof_gr_complex, "ofdm_sync_pn-nco_c.dat")) + self.fg.connect(self.input, gr.file_sink(gr.sizeof_gr_complex, "ofdm_sync_pn-input_c.dat")) + + gr.hier_block.__init__(self, fg, self.input, self.sampler) diff --git a/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_pnac.py b/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_pnac.py new file mode 100644 index 0000000000..833cee57dd --- /dev/null +++ b/gnuradio-core/src/python/gnuradio/blksimpl/ofdm_sync_pnac.py @@ -0,0 +1,126 @@ +#!/usr/bin/env python +# +# Copyright 2007 Free Software Foundation, Inc. +# +# This file is part of GNU Radio +# +# GNU Radio is free software; you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation; either version 2, or (at your option) +# any later version. +# +# GNU Radio is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with GNU Radio; see the file COPYING. If not, write to +# the Free Software Foundation, Inc., 51 Franklin Street, +# Boston, MA 02110-1301, USA. +# + +import math +from numpy import fft +from gnuradio import gr + +class ofdm_sync_pnac(gr.hier_block): + def __init__(self, fg, fft_length, cp_length, ks): + self.fg = fg + + # FIXME: when converting to hier_block2's, the output signature + # should be the output of the divider (the normalized peaks) and + # the angle value out of the sample and hold block + + self.input = gr.add_const_cc(0) + + symbol_length = fft_length + cp_length + + # PN Sync + + # autocorrelate with the known symbol + ks = ks[0:fft_length//2] + ks.reverse() + self.crosscorr_filter = gr.fir_filter_ccc(1, ks) + self.fg.connect(self.crosscorr_filter, gr.file_sink(gr.sizeof_gr_complex, "crosscorr.dat")) + + # Create a delay line + self.delay = gr.delay(gr.sizeof_gr_complex, fft_length/2) + + # Correlation from ML Sync + self.conjg = gr.conjugate_cc(); + self.corr = gr.multiply_cc(); + + # Create a moving sum filter for the corr output + moving_sum_taps = [1.0 for i in range(fft_length//2)] + self.moving_sum_filter = gr.fir_filter_ccf(1,moving_sum_taps) + + # Create a moving sum filter for the input + self.inputmag2 = gr.complex_to_mag_squared() + movingsum2_taps = [1.0 for i in range(fft_length/2)] + self.inputmovingsum = gr.fir_filter_fff(1,movingsum2_taps) + self.square = gr.multiply_ff() + self.normalize = gr.divide_ff() + + # Get magnitude (peaks) and angle (phase/freq error) + self.c2mag = gr.complex_to_mag_squared() + self.angle = gr.complex_to_arg() + + self.sample_and_hold = gr.sample_and_hold_ff() + + # Mix the signal with an NCO controlled by the sync loop + nco_sensitivity = -1.0/fft_length + self.nco = gr.frequency_modulator_fc(nco_sensitivity) + self.sigmix = gr.multiply_cc() + + #ML measurements input to sampler block and detect + self.sub1 = gr.add_const_ff(-1) + self.pk_detect = gr.peak_detector_fb(0.2, 0.25, 30, 0.0005) + + self.sampler = gr.ofdm_sampler(fft_length,symbol_length) + + self.fg.connect(self.input, self.crosscorr_filter) + self.fg.connect(self.crosscorr_filter, self.delay) + self.fg.connect(self.crosscorr_filter, (self.corr,0)) + self.fg.connect(self.delay, self.conjg) + self.fg.connect(self.conjg, (self.corr,1)) + self.fg.connect(self.corr, self.moving_sum_filter) + self.fg.connect(self.moving_sum_filter, self.c2mag) + self.fg.connect(self.moving_sum_filter, self.angle) + self.fg.connect(self.angle, (self.sample_and_hold,0)) + self.fg.connect(self.sample_and_hold, self.nco) + + self.fg.connect(self.input, (self.sigmix,0)) + self.fg.connect(self.nco, (self.sigmix,1)) + self.fg.connect(self.sigmix, (self.sampler,0)) + + self.fg.connect(self.input, self.inputmag2, self.inputmovingsum) + self.fg.connect(self.inputmovingsum, (self.square,0)) + self.fg.connect(self.inputmovingsum, (self.square,1)) + self.fg.connect(self.square, (self.normalize,1)) + self.fg.connect(self.c2mag, (self.normalize,0)) + self.fg.connect(self.normalize, self.sub1, self.pk_detect) + + self.fg.connect(self.pk_detect, (self.sampler,1)) + self.fg.connect(self.pk_detect, (self.sample_and_hold,1)) + + + if 1: + self.fg.connect(self.normalize, gr.file_sink(gr.sizeof_float, + "ofdm_sync_pnac-theta_f.dat")) + self.fg.connect(self.angle, gr.file_sink(gr.sizeof_float, + "ofdm_sync_pnac-epsilon_f.dat")) + self.fg.connect(self.pk_detect, gr.file_sink(gr.sizeof_char, + "ofdm_sync_pnac-peaks_b.dat")) + self.fg.connect(self.sigmix, gr.file_sink(gr.sizeof_gr_complex, + "ofdm_sync_pnac-sigmix_c.dat")) + self.fg.connect(self.sampler, gr.file_sink(gr.sizeof_gr_complex*fft_length, + "ofdm_sync_pnac-sampler_c.dat")) + self.fg.connect(self.sample_and_hold, gr.file_sink(gr.sizeof_float, + "ofdm_sync_pnac-sample_and_hold_f.dat")) + self.fg.connect(self.nco, gr.file_sink(gr.sizeof_gr_complex, + "ofdm_sync_pnac-nco_c.dat")) + self.fg.connect(self.input, gr.file_sink(gr.sizeof_gr_complex, + "ofdm_sync_pnac-input_c.dat")) + + gr.hier_block.__init__(self, fg, self.input, self.sampler) |