def add_mobile_station(self,station_id):
"""
Adds new receiver mobile station. Station ID must be unique. Initializes
BER reference source.
"""
# Initialize
id_src = self._control._id_source
dmux = self._data_multiplexer
port = self._data_multiplexer_nextport
self._data_multiplexer_nextport += 1
# Setup
ctrl_port = self._control.add_mobile_station(station_id)
options = self._options
if options.imgxfer:
ref_src = ofdm.imgtransfer_src( options.img )
else:
ref_src = ber_reference_source(self._options)
if(options.coding):
## Encoder
encoder = self._encoder = ofdm.encoder_bb(fo,0)
unpack = self._unpack = blocks.unpack_k_bits_bb(2)
## Puncturing
if not options.nopunct:
puncturing = self._puncturing = puncture_bb(options.subcarriers)
#sah = gr.sample_and_hold_bb()
#sah_trigger = blocks.vector_source_b([1,0],True)
#decim_sah=gr.keep_one_in_n(gr.sizeof_char,2)
self.connect(self._bitmap_trigger_puncturing,(puncturing,2))
frametrigger_bitmap_filter = blocks.vector_source_b([1,0],True)
bitmap_filter = self._puncturing_bitmap_src_filter = skip(gr.sizeof_char*options.subcarriers,2)# skip_known_symbols(frame_length,subcarriers)
bitmap_filter.skip_call(0)
#self.connect(self._bitmap_src_puncturing,bitmap_filter,(puncturing,1))
self.connect(self._map_src,bitmap_filter,(puncturing,1))
self.connect(frametrigger_bitmap_filter,(bitmap_filter,1))
#bmt = gr.char_to_float()
#self.connect(bitmap_filter,blocks.vector_to_stream(gr.sizeof_char,options.subcarriers), bmt)
#log_to_file(self, bmt, "data/bitmap_filter_tx.float")
self.connect((self._control,ctrl_port),ref_src,encoder,unpack)
if not options.nopunct:
self.connect(unpack,puncturing,(dmux,port))
#self.connect(sah_trigger, (sah,1))
else:
self.connect(unpack,(dmux,port))
else:
self.connect((self._control,ctrl_port),ref_src,(dmux,port))
if options.log and options.coding:
log_to_file(self, encoder, "data/encoder_out.char")
log_to_file(self, ref_src, "data/reference_data_src.char")
log_to_file(self, unpack, "data/encoder_unpacked_out.char")
if not options.nopunct:
log_to_file(self, puncturing, "data/puncturing_out.char")
def __init__( self, vlen, framelength, no_preambles = 1 ):
gr.hier_block2.__init__( self,
"ofdm_data_block_filter",
gr.io_signature( 1, 1, gr.sizeof_gr_complex * vlen ),
gr.io_signature( 1, 1, gr.sizeof_gr_complex * vlen ) )
datablock_filter = ofdm.skip( gr.sizeof_gr_complex * vlen,
framelength )
for i in range( no_preambles ):
datablock_filter.skip( i )
frame_trigger = ofdm_perfect_frame_trigger( framelength )
self.connect( self, datablock_filter, self )
self.connect( frame_trigger, ( datablock_filter, 1 ) )
self.frame_trigger = frame_trigger
def setup_snr_measurement(self):
"""
Perform SNR measurement.
It uses the data reference from the BER measurement. I.e. if that is not
setup, it will be setup. Only data subcarriers that are assigned to the
station are considered in the measurement. Note that there is no sink
prepared. You need to setup a sink, e.g. with one or more invocation
of a "publish.."-function.
SNR output is in dB.
"""
if not self.measuring_ber():
self.setup_ber_measurement()
print "Warning: Setup BER Measurement forced"
if self.measuring_snr():
return
config = station_configuration()
vlen = config.subcarriers
frame_length = config.frame_length
L = config.periodic_parts
snr_est_filt = skip(gr.sizeof_gr_complex*vlen,frame_length/2)
skipping_symbols = [0] + range(config.training_data.fbmc_no_preambles/2,frame_length/2)
for x in skipping_symbols:
snr_est_filt.skip_call(x)
#snr_est_filt = skip(gr.sizeof_gr_complex*vlen,frame_length)
#for x in range(1,frame_length):
#snr_est_filt.skip_call(x)
## NOTE HACK!! first preamble is not equalized
self.connect(self.symbol_output,snr_est_filt)
self.connect(self.frame_trigger,(snr_est_filt,1))
# snrm = self._snr_measurement = milans_snr_estimator( vlen, vlen, L )
#
# self.connect(snr_est_filt,snrm)
#
# if self._options.log:
# log_to_file(self, self._snr_measurement, "data/milan_snr.float")
#Addition for SINR estimation
if self._options.sinr_est:
snr_est_filt_2 = skip(gr.sizeof_gr_complex*vlen,frame_length)
for x in range(frame_length):
if x != config.training_data.channel_estimation_pilot[0]:
snr_est_filt_2.skip_call(x)
self.connect(self.symbol_output,snr_est_filt_2)
self.connect(self.frame_trigger,(snr_est_filt_2,1))
sinrm = self._sinr_measurement = milans_sinr_sc_estimator2( vlen, vlen, L )
self.connect(snr_est_filt,sinrm)
self.connect(snr_est_filt_2,(sinrm,1))
if self._options.log:
log_to_file(self, (self._sinr_measurement,0), "data/milan_sinr_sc.float")
log_to_file(self, (self._sinr_measurement,1), "data/milan_snr.float")
else:
#snrm = self._snr_measurement = milans_snr_estimator( vlen, vlen, L )
snr_estim = fbmc_snr_estimator( vlen, config.training_data.fbmc_no_preambles/2 -1 )
scsnrdb = filter.single_pole_iir_filter_ff(0.1)
snrm = self._snr_measurement = blocks.nlog10_ff(10,1,0)
#self.connect(self.snr_est_preamble,scsnrdb,snrm)
#terminate_stream(self,self.snr_est_preamble)
#self.connect(self.snr_est_preamble,snr_estim,scsnrdb,snrm)
#self.connect((snr_estim,1),blocks.null_sink(gr.sizeof_float))
#log_to_file(self, snrm, "data/snrm.float")
#log_to_file(self, snrm, "data/snrm.float")
collect_preambles = blocks.stream_to_vector(gr.sizeof_gr_complex*vlen, config.training_data.fbmc_no_preambles/2 -1)
self.connect(snr_est_filt, collect_preambles)
self.connect(collect_preambles,snr_estim,scsnrdb,snrm)
self.connect((snr_estim,1),blocks.null_sink(gr.sizeof_float))
def __init__(self, options):
gr.hier_block2.__init__(self, "fbmc_receive_path",
gr.io_signature(1,1,gr.sizeof_gr_complex),
gr.io_signature(0,0,0))
print "This is FBMC receive path 1x1"
common_options.defaults(options)
config = self.config = station_configuration()
config.data_subcarriers = dsubc = options.subcarriers
config.cp_length = 0
config.frame_data_blocks = options.data_blocks
config._verbose = options.verbose #TODO: update
config.fft_length = options.fft_length
config.dc_null = options.dc_null
config.training_data = default_block_header(dsubc,
config.fft_length,config.dc_null,options)
config.coding = options.coding
config.ber_window = options.ber_window
config.periodic_parts = 8
config.frame_id_blocks = 1 # FIXME
self._options = copy.copy(options) #FIXME: do we need this?
config.fbmc = options.fbmc
config.block_length = config.fft_length + config.cp_length
config.frame_data_part = config.frame_data_blocks + config.frame_id_blocks
config.frame_length = config.training_data.fbmc_no_preambles + 2*config.frame_data_part
config.postpro_frame_length = config.frame_data_part + \
config.training_data.no_pilotsyms
config.subcarriers = dsubc + \
config.training_data.pilot_subcarriers
config.virtual_subcarriers = config.fft_length - config.subcarriers - config.dc_null
total_subc = config.subcarriers
# check some bounds
if config.fft_length < config.subcarriers:
raise SystemError, "Subcarrier number must be less than FFT length"
if config.fft_length < config.cp_length:
raise SystemError, "Cyclic prefix length must be less than FFT length"
#self.input = gr.kludge_copy(gr.sizeof_gr_complex)
#self.connect( self, self.input )
self.input = self
self.ideal = options.ideal
self.ideal2 = options.ideal2
## Inner receiver
## Timing & Frequency Synchronization
## Channel estimation + Equalization
## Phase Tracking for sampling clock frequency offset correction
inner_receiver = self.inner_receiver = fbmc_inner_receiver( options, options.log )
self.connect( self.input, inner_receiver )
ofdm_blocks = ( inner_receiver, 2 )
frame_start = ( inner_receiver, 1 )
disp_ctf = ( inner_receiver, 0 )
#self.snr_est_preamble = ( inner_receiver, 3 )
#terminate_stream(self,snr_est_preamble)
disp_cfo = ( inner_receiver, 3 )
if self.ideal is False and self.ideal2 is False:
self.zmq_probe_freqoff = zeromq.pub_sink(gr.sizeof_float, 1, "tcp://*:5557")
self.connect(disp_cfo, self.zmq_probe_freqoff)
else:
self.connect(disp_cfo, blocks.null_sink(gr.sizeof_float))
# for ID decoder
used_id_bits = config.used_id_bits = 8 #TODO: constant in source code!
rep_id_bits = config.rep_id_bits = dsubc/used_id_bits #BPSK
if options.log:
print "rep_id_bits %d" % (rep_id_bits)
if dsubc % used_id_bits <> 0:
raise SystemError,"Data subcarriers need to be multiple of 10"
## Workaround to avoid periodic structure
seed(1)
whitener_pn = [randint(0,1) for i in range(used_id_bits*rep_id_bits)]
## NOTE!!! BIG HACK!!!
## first preamble ain't equalized ....
## for Milan's SNR estimator
## Outer Receiver
## Make new inner receiver compatible with old outer receiver
## FIXME: renew outer receiver
self.ctf = disp_ctf
#frame_sampler = ofdm_frame_sampler(options)
frame_sampler = fbmc_frame_sampler(options)
self.connect( ofdm_blocks, frame_sampler)
self.connect( frame_start, (frame_sampler,1) )
#
# ft = [0] * config.frame_length
# ft[0] = 1
#
# # The next block ensures that only complete frames find their way into
# # the old outer receiver. The dynamic frame start trigger is hence
# # replaced with a static one, fixed to the frame length.
#
# frame_sampler = ofdm.vector_sampler( gr.sizeof_gr_complex * total_subc,
# config.frame_length )
# self.symbol_output = blocks.vector_to_stream( gr.sizeof_gr_complex * total_subc,
# config.frame_length )
# delayed_frame_start = blocks.delay( gr.sizeof_char, config.frame_length - 1 )
# damn_static_frame_trigger = blocks.vector_source_b( ft, True )
#
# if options.enable_erasure_decision:
# frame_gate = vector_sampler(
# gr.sizeof_gr_complex * total_subc * config.frame_length, 1 )
# self.connect( ofdm_blocks, frame_sampler, frame_gate,
# self.symbol_output )
# else:
# self.connect( ofdm_blocks, frame_sampler, self.symbol_output )
#
# self.connect( frame_start, delayed_frame_start, ( frame_sampler, 1 ) )
if options.enable_erasure_decision:
frame_gate = frame_sampler.frame_gate
self.symbol_output = frame_sampler
orig_frame_start = frame_start
frame_start = (frame_sampler,1)
self.frame_trigger = frame_start
#terminate_stream(self, self.frame_trigger)
## Pilot block filter
pb_filt = self._pilot_block_filter = fbmc_pilot_block_filter()
self.connect(self.symbol_output,pb_filt)
self.connect(self.frame_trigger,(pb_filt,1))
self.frame_data_trigger = (pb_filt,1)
#self.symbol_output = pb_filt
#if options.log:
#log_to_file(self, pb_filt, "data/pb_filt_out.compl")
if config.fbmc:
pda_in = pb_filt
else:
## Pilot subcarrier filter
ps_filt = self._pilot_subcarrier_filter = pilot_subcarrier_filter()
self.connect(self.symbol_output,ps_filt)
if options.log:
log_to_file(self, ps_filt, "data/ps_filt_out.compl")
pda_in = ps_filt
## Workaround to avoid periodic structure
# for ID decoder
seed(1)
whitener_pn = [randint(0,1) for i in range(used_id_bits*rep_id_bits)]
if not options.enable_erasure_decision:
## ID Block Filter
# Filter ID block, skip data blocks
id_bfilt = self._id_block_filter = vector_sampler(
gr.sizeof_gr_complex * dsubc, 1 )
if not config.frame_id_blocks == 1:
raise SystemExit, "# ID Blocks > 1 not supported"
self.connect( pda_in , id_bfilt )
self.connect( self.frame_data_trigger, ( id_bfilt, 1 ) ) # trigger
#log_to_file( self, id_bfilt, "data/id_bfilt.compl" )
## ID Demapper and Decoder, soft decision
self.id_dec = self._id_decoder = ofdm.coded_bpsk_soft_decoder( dsubc,
used_id_bits, whitener_pn )
self.connect( id_bfilt, self.id_dec )
print "Using coded BPSK soft decoder for ID detection"
else: # options.enable_erasure_decision:
id_bfilt = self._id_block_filter = vector_sampler(
gr.sizeof_gr_complex * total_subc, config.frame_id_blocks )
id_bfilt_trig_delay = 0
for x in range( config.frame_length ):
if x in config.training_data.pilotsym_pos:
id_bfilt_trig_delay += 1
else:
break
print "Position of ID block within complete frame: %d" %(id_bfilt_trig_delay)
assert( id_bfilt_trig_delay > 0 ) # else not supported
id_bfilt_trig = blocks.delay( gr.sizeof_char, id_bfilt_trig_delay )
self.connect( ofdm_blocks, id_bfilt )
self.connect( orig_frame_start, id_bfilt_trig, ( id_bfilt, 1 ) )
self.id_dec = self._id_decoder = ofdm.coded_bpsk_soft_decoder( total_subc,
used_id_bits, whitener_pn, config.training_data.shifted_pilot_tones )
self.connect( id_bfilt, self.id_dec )
print "Using coded BPSK soft decoder for ID detection"
# The threshold block either returns 1.0 if the llr-value from the
# id decoder is below the threshold, else 0.0. Hence we convert this
# into chars, 0 and 1, and use it as trigger for the sampler.
min_llr = ( self.id_dec, 1 )
erasure_threshold = gr.threshold_ff( 10.0, 10.0, 0 ) # FIXME is it the optimal threshold?
erasure_dec = gr.float_to_char()
id_gate = vector_sampler( gr.sizeof_short, 1 )
ctf_gate = vector_sampler( gr.sizeof_float * total_subc, 1 )
self.connect( self.id_dec , id_gate )
self.connect( self.ctf, ctf_gate )
self.connect( min_llr, erasure_threshold, erasure_dec )
self.connect( erasure_dec, ( frame_gate, 1 ) )
self.connect( erasure_dec, ( id_gate, 1 ) )
self.connect( erasure_dec, ( ctf_gate, 1 ) )
self.id_dec = self._id_decoder = id_gate
self.ctf = ctf_gate
print "Erasure decision for IDs is enabled"
if options.log:
id_dec_f = gr.short_to_float()
self.connect(self.id_dec,id_dec_f)
log_to_file(self, id_dec_f, "data/id_dec_out.float")
if options.log:
log_to_file(self, id_bfilt, "data/id_blockfilter_out.compl")
# TODO: refactor names
if options.log:
map_src_f = gr.char_to_float(dsubc)
self.connect(map_src,map_src_f)
log_to_file(self, map_src_f, "data/map_src_out.float")
## Allocation Control
if options.static_allocation: #DEBUG
if options.coding:
mode = 1 # Coding mode 1-9
bitspermode = [0.5,1,1.5,2,3,4,4.5,5,6] # Information bits per mode
bitcount_vec = [(int)(config.data_subcarriers*config.frame_data_blocks*bitspermode[mode-1])]
bitloading = mode
else:
bitloading = 1
bitcount_vec = [config.data_subcarriers*config.frame_data_blocks*bitloading]
#bitcount_vec = [config.data_subcarriers*config.frame_data_blocks]
self.bitcount_src = blocks.vector_source_i(bitcount_vec,True,1)
# 0s for ID block, then data
#bitloading_vec = [0]*dsubc+[0]*(dsubc/2)+[2]*(dsubc/2)
bitloading_vec = [0]*dsubc+[bitloading]*dsubc
bitloading_src = blocks.vector_source_b(bitloading_vec,True,dsubc)
power_vec = [1]*config.data_subcarriers
power_src = blocks.vector_source_f(power_vec,True,dsubc)
else:
self.allocation_buffer = ofdm.allocation_buffer(config.data_subcarriers, config.frame_data_blocks, "tcp://"+options.tx_hostname+":3333",config.coding)
self.bitcount_src = (self.allocation_buffer,0)
bitloading_src = (self.allocation_buffer,1)
power_src = (self.allocation_buffer,2)
self.connect(self.id_dec, self.allocation_buffer)
if options.benchmarking:
self.allocation_buffer.set_allocation([4]*config.data_subcarriers,[1]*config.data_subcarriers)
if options.log:
log_to_file(self, self.bitcount_src, "data/bitcount_src_rx.int")
log_to_file(self, bitloading_src, "data/bitloading_src_rx.char")
log_to_file(self, power_src, "data/power_src_rx.cmplx")
log_to_file(self, self.id_dec, "data/id_dec_rx.short")
## Power Deallocator
pda = self._power_deallocator = multiply_frame_fc(config.frame_data_part, dsubc)
self.connect(pda_in,(pda,0))
self.connect(power_src,(pda,1))
## Demodulator
# if 0:
# ac_vector = [0.0+0.0j]*208
# ac_vector[0] = (2*10**(-0.452))
# ac_vector[3] = (10**(-0.651))
# ac_vector[7] = (10**(-1.151))
# csi_vector_inv=abs(numpy.fft.fft(numpy.sqrt(ac_vector)))**2
# dm_csi = numpy.fft.fftshift(csi_vector_inv) # TODO
dm_csi = [1]*dsubc # TODO
dm_csi = blocks.vector_source_f(dm_csi,True)
## Depuncturer
dp_trig = [0]*(config.frame_data_blocks/2)
dp_trig[0] = 1
dp_trig = blocks.vector_source_b(dp_trig,True) # TODO
if(options.coding):
fo=ofdm.fsm(1,2,[91,121])
if options.interleave:
int_object=trellis.interleaver(2000,666)
deinterlv = trellis.permutation(int_object.K(),int_object.DEINTER(),1,gr.sizeof_float)
demod = self._data_demodulator = generic_softdemapper_vcf(dsubc, config.frame_data_part, config.coding)
#self.connect(dm_csi,blocks.stream_to_vector(gr.sizeof_float,dsubc),(demod,2))
if(options.ideal):
self.connect(dm_csi,blocks.stream_to_vector(gr.sizeof_float,dsubc),(demod,2))
else:
dm_csi_filter = self.dm_csi_filter = filter.single_pole_iir_filter_ff(0.01,dsubc)
self.connect(self.ctf, self.dm_csi_filter,(demod,2))
#log_to_file(self, dm_csi_filter, "data/softs_csi.float")
#self.connect(dm_trig,(demod,3))
else:
demod = self._data_demodulator = generic_demapper_vcb(dsubc, config.frame_data_part)
if options.benchmarking:
# Do receiver benchmarking until the number of frames x symbols are collected
self.connect(pda,blocks.head(gr.sizeof_gr_complex*dsubc, options.N*config.frame_data_blocks),demod)
else:
self.connect(pda,demod)
self.connect(bitloading_src,(demod,1))
if(options.coding):
## Depuncturing
if not options.nopunct:
depuncturing = depuncture_ff(dsubc,0)
frametrigger_bitmap_filter = blocks.vector_source_b([1,0],True)
self.connect(bitloading_src,(depuncturing,1))
self.connect(dp_trig,(depuncturing,2))
## Decoding
chunkdivisor = int(numpy.ceil(config.frame_data_blocks/5.0))
print "Number of chunks at Viterbi decoder: ", chunkdivisor
decoding = self._data_decoder = ofdm.viterbi_combined_fb(fo,dsubc,-1,-1,2,chunkdivisor,[-1,-1,-1,1,1,-1,1,1],ofdm.TRELLIS_EUCLIDEAN)
if options.log and options.coding:
log_to_file(self, decoding, "data/decoded.char")
if not options.nopunct:
log_to_file(self, depuncturing, "data/vit_in.float")
if not options.nopunct:
if options.interleave:
self.connect(demod,deinterlv,depuncturing,decoding)
else:
self.connect(demod,depuncturing,decoding)
else:
self.connect(demod,decoding)
self.connect(self.bitcount_src, multiply_const_ii(1./chunkdivisor), (decoding,1))
if options.scatterplot or options.scatter_plot_before_phase_tracking:
if self.ideal2 is False:
scatter_vec_elem = self._scatter_vec_elem = ofdm.vector_element(dsubc,40)
scatter_s2v = self._scatter_s2v = blocks.stream_to_vector(gr.sizeof_gr_complex,config.frame_data_blocks)
scatter_id_filt = skip(gr.sizeof_gr_complex*dsubc,config.frame_data_blocks)
scatter_id_filt.skip_call(0)
scatter_trig = [0]*config.frame_data_part
scatter_trig[0] = 1
scatter_trig = blocks.vector_source_b(scatter_trig,True)
self.connect(scatter_trig,(scatter_id_filt,1))
self.connect(scatter_vec_elem,scatter_s2v)
if not options.scatter_plot_before_phase_tracking:
print "Enabling Scatterplot for data subcarriers"
self.connect(pda,scatter_id_filt,scatter_vec_elem)
# Work on this
#scatter_sink = ofdm.scatterplot_sink(dsubc)
#self.connect(pda,scatter_sink)
#self.connect(map_src,(scatter_sink,1))
#self.connect(dm_trig,(scatter_sink,2))
#print "Enabled scatterplot gui interface"
self.zmq_probe_scatter = zeromq.pub_sink(gr.sizeof_gr_complex,config.frame_data_blocks, "tcp://*:5560")
self.connect(scatter_s2v, blocks.keep_one_in_n(gr.sizeof_gr_complex*config.frame_data_blocks,20), self.zmq_probe_scatter)
else:
print "Enabling Scatterplot for data before phase tracking"
inner_rx = inner_receiver.before_phase_tracking
#scatter_sink2 = ofdm.scatterplot_sink(dsubc,"phase_tracking")
op = copy.copy(options)
op.enable_erasure_decision = False
new_framesampler = ofdm_frame_sampler(op)
self.connect( inner_rx, new_framesampler )
self.connect( orig_frame_start, (new_framesampler,1) )
new_ps_filter = pilot_subcarrier_filter()
new_pb_filter = fbmc_pilot_block_filter()
self.connect( (new_framesampler,1), (new_pb_filter,1) )
self.connect( new_framesampler, new_pb_filter,
new_ps_filter, scatter_id_filt, scatter_vec_elem )
#self.connect( new_ps_filter, scatter_sink2 )
#self.connect( map_src, (scatter_sink2,1))
#self.connect( dm_trig, (scatter_sink2,2))
if options.log:
if(options.coding):
log_to_file(self, demod, "data/data_stream_out.float")
else:
data_f = gr.char_to_float()
self.connect(demod,data_f)
log_to_file(self, data_f, "data/data_stream_out.float")
if options.sfo_feedback:
used_id_bits = 8
rep_id_bits = config.data_subcarriers/used_id_bits
seed(1)
whitener_pn = [randint(0,1) for i in range(used_id_bits*rep_id_bits)]
id_enc = ofdm.repetition_encoder_sb(used_id_bits,rep_id_bits,whitener_pn)
self.connect( self.id_dec, id_enc )
id_mod = ofdm_bpsk_modulator(dsubc)
self.connect( id_enc, id_mod )
id_mod_conj = gr.conjugate_cc(dsubc)
self.connect( id_mod, id_mod_conj )
id_mult = blocks.multiply_vcc(dsubc)
self.connect( id_bfilt, ( id_mult,0) )
self.connect( id_mod_conj, ( id_mult,1) )
# id_mult_avg = filter.single_pole_iir_filter_cc(0.01,dsubc)
# self.connect( id_mult, id_mult_avg )
id_phase = gr.complex_to_arg(dsubc)
self.connect( id_mult, id_phase )
log_to_file( self, id_phase, "data/id_phase.float" )
est=ofdm.LS_estimator_straight_slope(dsubc)
self.connect(id_phase,est)
slope=blocks.multiply_const_ff(1e6/2/3.14159265)
self.connect( (est,0), slope )
log_to_file( self, slope, "data/slope.float" )
log_to_file( self, (est,1), "data/offset.float" )
# ------------------------------------------------------------------------ #
# Display some information about the setup
if config._verbose:
self._print_verbage()
## debug logging ##
if options.log:
# log_to_file(self,self.ofdm_symbols,"data/unequalized_rx_ofdm_symbols.compl")
# log_to_file(self,self.ofdm_symbols,"data/unequalized_rx_ofdm_symbols.float",mag=True)
fftlen = 256
my_window = window.hamming(fftlen) #.blackmanharris(fftlen)
rxs_sampler = vector_sampler(gr.sizeof_gr_complex,fftlen)
rxs_sampler_vect = concatenate([[1],[0]*49])
rxs_trigger = blocks.vector_source_b(rxs_sampler_vect.tolist(),True)
rxs_window = blocks.multiply_const_vcc(my_window)
rxs_spectrum = gr.fft_vcc(fftlen,True,[],True)
rxs_mag = gr.complex_to_mag(fftlen)
rxs_avg = filter.single_pole_iir_filter_ff(0.01,fftlen)
#rxs_logdb = blocks.nlog10_ff(20.0,fftlen,-20*log10(fftlen))
rxs_logdb = gr.kludge_copy( gr.sizeof_float * fftlen )
rxs_decimate_rate = gr.keep_one_in_n(gr.sizeof_float*fftlen,1)
self.connect(rxs_trigger,(rxs_sampler,1))
self.connect(self.input,rxs_sampler,rxs_window,
rxs_spectrum,rxs_mag,rxs_avg,rxs_logdb, rxs_decimate_rate)
log_to_file( self, rxs_decimate_rate, "data/psd_input.float" )
#output branches
self.publish_rx_performance_measure()
def add_mobile_station(self, station_id):
"""
Adds new receiver mobile station. Station ID must be unique. Initializes
BER reference source.
"""
# Initialize
id_src = self._control._id_source
dmux = self._data_multiplexer
port = self._data_multiplexer_nextport
self._data_multiplexer_nextport += 1
# Setup
ctrl_port = self._control.add_mobile_station(station_id)
options = self._options
if options.imgxfer:
ref_src = ofdm.imgtransfer_src(options.img)
else:
ref_src = ber_reference_source(self._options)
if (options.coding):
## Encoder
encoder = self._encoder = ofdm.encoder_bb(fo, 0)
unpack = self._unpack = blocks.unpack_k_bits_bb(2)
## Puncturing
if not options.nopunct:
puncturing = self._puncturing = puncture_bb(
options.subcarriers)
#sah = gr.sample_and_hold_bb()
#sah_trigger = blocks.vector_source_b([1,0],True)
#decim_sah=gr.keep_one_in_n(gr.sizeof_char,2)
self.connect(self._bitmap_trigger_puncturing, (puncturing, 2))
frametrigger_bitmap_filter = blocks.vector_source_b([1, 0],
True)
bitmap_filter = self._puncturing_bitmap_src_filter = skip(
gr.sizeof_char * options.subcarriers,
2) # skip_known_symbols(frame_length,subcarriers)
bitmap_filter.skip_call(0)
#self.connect(self._bitmap_src_puncturing,bitmap_filter,(puncturing,1))
self.connect(self._map_src, bitmap_filter, (puncturing, 1))
self.connect(frametrigger_bitmap_filter, (bitmap_filter, 1))
#bmt = gr.char_to_float()
#self.connect(bitmap_filter,blocks.vector_to_stream(gr.sizeof_char,options.subcarriers), bmt)
#log_to_file(self, bmt, "data/bitmap_filter_tx.float")
self.connect((self._control, ctrl_port), ref_src, encoder, unpack)
if not options.nopunct:
self.connect(unpack, puncturing, (dmux, port))
#self.connect(sah_trigger, (sah,1))
else:
self.connect(unpack, (dmux, port))
else:
self.connect((self._control, ctrl_port), ref_src, (dmux, port))
if options.log and options.coding:
log_to_file(self, encoder, "data/encoder_out.char")
log_to_file(self, ref_src, "data/reference_data_src.char")
log_to_file(self, unpack, "data/encoder_unpacked_out.char")
if not options.nopunct:
log_to_file(self, puncturing, "data/puncturing_out.char")
def __init__(self, subc, vlen, ss):
gr.hier_block2.__init__(
self, "new_snr_estimator",
gr.io_signature(1, 1, gr.sizeof_gr_complex * vlen),
gr.io_signature(1, 1, gr.sizeof_float))
print "Created Milan's SNR estimator"
trigger = [0] * vlen
trigger[0] = 1
u = range(vlen / ss * (ss - 1))
zeros_ind = map(lambda z: z + 1 + z / (ss - 1), u)
skip1 = skip(gr.sizeof_gr_complex, vlen)
for x in zeros_ind:
skip1.skip(x)
#print "skipped zeros",zeros_ind
v = range(vlen / ss)
ones_ind = map(lambda z: z * ss, v)
skip2 = skip(gr.sizeof_gr_complex, vlen)
for x in ones_ind:
skip2.skip(x)
#print "skipped ones",ones_ind
v2s = gr.vector_to_stream(gr.sizeof_gr_complex, vlen)
s2v1 = gr.stream_to_vector(gr.sizeof_gr_complex, vlen / ss)
trigger_src_1 = gr.vector_source_b(trigger, True)
s2v2 = gr.stream_to_vector(gr.sizeof_gr_complex, vlen / ss * (ss - 1))
trigger_src_2 = gr.vector_source_b(trigger, True)
mag_sq_ones = gr.complex_to_mag_squared(vlen / ss)
mag_sq_zeros = gr.complex_to_mag_squared(vlen / ss * (ss - 1))
filt_ones = gr.single_pole_iir_filter_ff(0.1, vlen / ss)
filt_zeros = gr.single_pole_iir_filter_ff(0.1, vlen / ss * (ss - 1))
sum_ones = vector_sum_vff(vlen / ss)
sum_zeros = vector_sum_vff(vlen / ss * (ss - 1))
D = gr.divide_ff()
P = gr.multiply_ff()
mult1 = gr.multiply_const_ff(ss - 1.0)
add1 = gr.add_const_ff(-1.0)
mult2 = gr.multiply_const_ff(1. / ss)
scsnrdb = gr.nlog10_ff(10, 1, 0)
filt_end = gr.single_pole_iir_filter_ff(0.1)
self.connect(self, v2s, skip1, s2v1, mag_sq_ones, filt_ones, sum_ones)
self.connect(trigger_src_1, (skip1, 1))
self.connect(v2s, skip2, s2v2, mag_sq_zeros, filt_zeros, sum_zeros)
self.connect(trigger_src_2, (skip2, 1))
self.connect(sum_ones, D)
self.connect(sum_zeros, (D, 1))
self.connect(D, mult1, add1, mult2)
self.connect(mult2, scsnrdb, filt_end, self)
def __init__(self, subc, vlen, ss):
gr.hier_block2.__init__(
self,
"new_snr_estimator",
gr.io_signature(2, 2, gr.sizeof_gr_complex * vlen),
#gr.io_signature2(2,2,gr.sizeof_float*vlen,gr.sizeof_float*vlen/ss*(ss-1)))
gr.io_signature2(2, 2, gr.sizeof_float * vlen, gr.sizeof_float))
print "Created Milan's SINR estimator"
trigger = [0] * vlen
trigger[0] = 1
v = range(vlen / ss)
ones_ind = map(lambda z: z * ss, v)
skip2_pr0 = skip(gr.sizeof_gr_complex, vlen)
skip2_pr1 = skip(gr.sizeof_gr_complex, vlen)
for x in ones_ind:
skip2_pr0.skip(x)
skip2_pr1.skip(x)
#print "skipped ones",ones_ind
v2s_pr0 = gr.vector_to_stream(gr.sizeof_gr_complex, vlen)
v2s_pr1 = gr.vector_to_stream(gr.sizeof_gr_complex, vlen)
s2v2_pr0 = gr.stream_to_vector(gr.sizeof_gr_complex,
vlen / ss * (ss - 1))
trigger_src_2_pr0 = gr.vector_source_b(trigger, True)
s2v2_pr1 = gr.stream_to_vector(gr.sizeof_gr_complex,
vlen / ss * (ss - 1))
trigger_src_2_pr1 = gr.vector_source_b(trigger, True)
mag_sq_zeros_pr0 = gr.complex_to_mag_squared(vlen / ss * (ss - 1))
mag_sq_zeros_pr1 = gr.complex_to_mag_squared(vlen / ss * (ss - 1))
filt_zeros_pr0 = gr.single_pole_iir_filter_ff(0.01,
vlen / ss * (ss - 1))
filt_zeros_pr1 = gr.single_pole_iir_filter_ff(0.01,
vlen / ss * (ss - 1))
v1 = vlen / ss * (ss - 1)
vevc1 = [-1] * v1
neg_nomin_z = gr.multiply_const_vff(vevc1)
div_z = gr.divide_ff(vlen / ss * (ss - 1))
on_zeros = gr.add_const_vff(vevc1)
sum_zeros = add_vff(vlen / ss * (ss - 1))
# For average
sum_all = vector_sum_vff(vlen)
mult = gr.multiply_const_ff(1. / vlen)
scsnr_db_av = gr.nlog10_ff(10, 1, 0)
filt_end_av = gr.single_pole_iir_filter_ff(0.1)
self.connect((self, 0), v2s_pr0, skip2_pr0, s2v2_pr0, mag_sq_zeros_pr0,
filt_zeros_pr0)
self.connect(trigger_src_2_pr0, (skip2_pr0, 1))
self.connect((self, 1), v2s_pr1, skip2_pr1, s2v2_pr1, mag_sq_zeros_pr1,
filt_zeros_pr1)
self.connect(trigger_src_2_pr1, (skip2_pr1, 1))
# On zeros
self.connect(filt_zeros_pr1, (sum_zeros, 0))
self.connect(filt_zeros_pr0, neg_nomin_z, (sum_zeros, 1))
self.connect(sum_zeros, div_z)
self.connect(filt_zeros_pr0, (div_z, 1))
scsnr_db = gr.nlog10_ff(10, vlen, 0)
filt_end = gr.single_pole_iir_filter_ff(0.1, vlen)
dd = []
for i in range(vlen / ss):
dd.extend([i * ss])
#print dd
interpolator = sinr_interpolator(vlen, ss, dd)
self.connect(div_z, interpolator, filt_end, scsnr_db, self)
self.connect(interpolator, sum_all, mult, scsnr_db_av, filt_end_av,
(self, 1))
def __init__(self, subc, vlen, ss):
gr.hier_block2.__init__(self, "new_snr_estimator",
gr.io_signature(1,1,gr.sizeof_gr_complex*vlen),
gr.io_signature(1,1,gr.sizeof_float))
print "Created Milan's SNR estimator"
trigger = [0]*vlen
trigger[0] = 1
u = range (vlen/ss*(ss-1))
zeros_ind= map(lambda z: z+1+z/(ss-1),u)
skip1 = skip(gr.sizeof_gr_complex,vlen)
for x in zeros_ind:
skip1.skip(x)
#print "skipped zeros",zeros_ind
v = range (vlen/ss)
ones_ind= map(lambda z: z*ss,v)
skip2 = skip(gr.sizeof_gr_complex,vlen)
for x in ones_ind:
skip2.skip(x)
#print "skipped ones",ones_ind
v2s = gr.vector_to_stream(gr.sizeof_gr_complex,vlen)
s2v1 = gr.stream_to_vector(gr.sizeof_gr_complex,vlen/ss)
trigger_src_1 = gr.vector_source_b(trigger,True)
s2v2 = gr.stream_to_vector(gr.sizeof_gr_complex,vlen/ss*(ss-1))
trigger_src_2 = gr.vector_source_b(trigger,True)
mag_sq_ones = gr.complex_to_mag_squared(vlen/ss)
mag_sq_zeros = gr.complex_to_mag_squared(vlen/ss*(ss-1))
filt_ones = gr.single_pole_iir_filter_ff(0.1,vlen/ss)
filt_zeros = gr.single_pole_iir_filter_ff(0.1,vlen/ss*(ss-1))
sum_ones = vector_sum_vff(vlen/ss)
sum_zeros = vector_sum_vff(vlen/ss*(ss-1))
D = gr.divide_ff()
P = gr.multiply_ff()
mult1 = gr.multiply_const_ff(ss-1.0)
add1 = gr.add_const_ff(-1.0)
mult2 = gr.multiply_const_ff(1./ss)
scsnrdb = gr.nlog10_ff(10,1,0)
filt_end = gr.single_pole_iir_filter_ff(0.1)
self.connect(self,v2s,skip1,s2v1,mag_sq_ones,filt_ones,sum_ones)
self.connect(trigger_src_1,(skip1,1))
self.connect(v2s,skip2,s2v2,mag_sq_zeros,filt_zeros,sum_zeros)
self.connect(trigger_src_2,(skip2,1))
self.connect(sum_ones,D)
self.connect(sum_zeros,(D,1))
self.connect(D,mult1,add1,mult2)
self.connect(mult2,scsnrdb,filt_end,self)
def __init__(self, subc, vlen, ss):
gr.hier_block2.__init__(self, "new_snr_estimator",
gr.io_signature(2,2,gr.sizeof_gr_complex*vlen),
#gr.io_signature2(2,2,gr.sizeof_float*vlen,gr.sizeof_float*vlen/ss*(ss-1)))
gr.io_signature2(2,2,gr.sizeof_float*vlen,gr.sizeof_float))
print "Created Milan's SINR estimator"
trigger = [0]*vlen
trigger[0] = 1
v = range (vlen/ss)
ones_ind= map(lambda z: z*ss,v)
skip2_pr0 = skip(gr.sizeof_gr_complex,vlen)
skip2_pr1 = skip(gr.sizeof_gr_complex,vlen)
for x in ones_ind:
skip2_pr0.skip(x)
skip2_pr1.skip(x)
#print "skipped ones",ones_ind
v2s_pr0 = gr.vector_to_stream(gr.sizeof_gr_complex,vlen)
v2s_pr1 = gr.vector_to_stream(gr.sizeof_gr_complex,vlen)
s2v2_pr0 = gr.stream_to_vector(gr.sizeof_gr_complex,vlen/ss*(ss-1))
trigger_src_2_pr0 = gr.vector_source_b(trigger,True)
s2v2_pr1 = gr.stream_to_vector(gr.sizeof_gr_complex,vlen/ss*(ss-1))
trigger_src_2_pr1 = gr.vector_source_b(trigger,True)
mag_sq_zeros_pr0 = gr.complex_to_mag_squared(vlen/ss*(ss-1))
mag_sq_zeros_pr1 = gr.complex_to_mag_squared(vlen/ss*(ss-1))
filt_zeros_pr0 = gr.single_pole_iir_filter_ff(0.01,vlen/ss*(ss-1))
filt_zeros_pr1 = gr.single_pole_iir_filter_ff(0.01,vlen/ss*(ss-1))
v1 = vlen/ss*(ss-1)
vevc1 =[-1]*v1
neg_nomin_z = gr.multiply_const_vff(vevc1)
div_z=gr.divide_ff(vlen/ss*(ss-1))
on_zeros = gr.add_const_vff(vevc1)
sum_zeros = add_vff(vlen/ss*(ss-1))
# For average
sum_all = vector_sum_vff(vlen)
mult = gr.multiply_const_ff(1./vlen)
scsnr_db_av = gr.nlog10_ff(10,1,0)
filt_end_av = gr.single_pole_iir_filter_ff(0.1)
self.connect((self,0),v2s_pr0,skip2_pr0,s2v2_pr0,mag_sq_zeros_pr0,filt_zeros_pr0)
self.connect(trigger_src_2_pr0,(skip2_pr0,1))
self.connect((self,1),v2s_pr1,skip2_pr1,s2v2_pr1,mag_sq_zeros_pr1,filt_zeros_pr1)
self.connect(trigger_src_2_pr1,(skip2_pr1,1))
# On zeros
self.connect(filt_zeros_pr1,(sum_zeros,0))
self.connect(filt_zeros_pr0,neg_nomin_z,(sum_zeros,1))
self.connect(sum_zeros,div_z)
self.connect(filt_zeros_pr0,(div_z,1))
scsnr_db = gr.nlog10_ff(10,vlen,0)
filt_end = gr.single_pole_iir_filter_ff(0.1,vlen)
dd = []
for i in range (vlen/ss):
dd.extend([i*ss])
#print dd
interpolator = sinr_interpolator(vlen, ss,dd)
self.connect(div_z,interpolator,filt_end,scsnr_db,self)
self.connect(interpolator,sum_all,mult,scsnr_db_av,filt_end_av,(self,1))