def __init__( self, options, log = False ):
## Read configuration
config = station_configuration()
fft_length = config.fft_length
cp_length = config.cp_length
block_header = config.training_data
data_subc = config.data_subcarriers
virtual_subc = config.virtual_subcarriers
total_subc = config.subcarriers
block_length = config.block_length
frame_length = config.frame_length
dc_null = config.dc_null
L = block_header.mm_periodic_parts
## Set Input/Output signature
gr.hier_block2.__init__( self,
"ofdm_inner_receiver",
gr.io_signature(
1, 1,
gr.sizeof_gr_complex ),
gr.io_signaturev(
4, 4,
[gr.sizeof_gr_complex * total_subc, # OFDM blocks
gr.sizeof_char, # Frame start
gr.sizeof_float * total_subc,
gr.sizeof_float] ) ) # Normalized |CTF|^2
## Input and output ports
self.input = rx_input = self
out_ofdm_blocks = ( self, 0 )
out_frame_start = ( self, 1 )
out_disp_ctf = ( self, 2 )
out_disp_cfo = ( self, 3 )
## pre-FFT processing
if options.ideal is False and options.ideal2 is False:
if options.old_receiver is False:
## Compute autocorrelations for S&C preamble
## and cyclic prefix
self._sc_metric = sc_metric = autocorrelator( fft_length/2, fft_length/2 )
self._gi_metric = gi_metric = autocorrelator( fft_length, cp_length )
self.connect( rx_input, sc_metric )
self.connect( rx_input, gi_metric )
## Sync. Output contains OFDM blocks
sync = ofdm.time_sync( fft_length, cp_length )
self.connect( rx_input, ( sync, 0 ) )
self.connect( sc_metric, ( sync, 1 ) )
self.connect( gi_metric, ( sync, 2 ) )
ofdm_blocks = ( sync, 0 )
frame_start = ( sync, 1 )
#log_to_file( self, ( sync, 1 ), "data/peak_detector.char" )
else:
#Testing old/new metric
self.tm = schmidl.recursive_timing_metric(fft_length)
self.connect( self.input, self.tm)
#log_to_file( self, self.tm, "data/rec_sc_metric_ofdm.float" )
timingmetric_shift = -2#int(-cp_length/4)# 0#-2 #int(-cp_length * 0.8)
tmfilter = filter.fft_filter_fff(1, [1./cp_length]*cp_length)
self.connect( self.tm, tmfilter )
self.tm = tmfilter
self._pd_thres = 0.3
self._pd_lookahead = fft_length / 2 # empirically chosen
peak_detector = ofdm.peak_detector_02_fb(self._pd_lookahead, self._pd_thres)
self.connect(self.tm, peak_detector)
#log_to_file( self, peak_detector, "data/rec_peak_detector.char" )
frame_start = [0]*frame_length
frame_start[0] = 1
frame_start = self.frame_trigger_old = blocks.vector_source_b(frame_start,True)
delayed_timesync = blocks.delay(gr.sizeof_char,
(frame_length-1)*block_length + timingmetric_shift)
self.connect( peak_detector, delayed_timesync )
self.block_sampler = ofdm.vector_sampler(gr.sizeof_gr_complex,block_length*frame_length)
self.discard_cp = ofdm.vector_mask(block_length,cp_length,fft_length,[])
self.connect(self.input,self.block_sampler)
self.connect(delayed_timesync,(self.block_sampler,1))
# TODO: dynamic solution
vt2s = blocks.vector_to_stream(gr.sizeof_gr_complex*block_length,
frame_length)
self.connect(self.block_sampler,vt2s,self.discard_cp)
#terminate_stream(self,ofdm_blocks)
ofdm_blocks = self.discard_cp
# else:
# serial_to_parallel = blocks.stream_to_vector(gr.sizeof_gr_complex,block_length)
# discard_cp = ofdm.vector_mask(block_length,cp_length,fft_length,[])
# ofdm_blocks = discard_cp
# self.connect( rx_input, serial_to_parallel, discard_cp )
# frame_start = [0]*frame_length
# frame_start[0] = 1
# frame_start = blocks.vector_source_b(frame_start,True)
#
# print "Disabled time synchronization stage"
## Compute autocorrelations for S&C preamble
## and cyclic prefix
#log_to_file( self, sc_metric, "data/sc_metric_ofdm.float" )
#log_to_file(self, frame_start, "data/frame_start.compl")
# log_to_file(self,ofdm_blocks,"data/ofdm_blocks_original.compl")
if options.disable_time_sync or options.ideal or options.ideal2:
if options.ideal is False and options.ideal2 is False:
terminate_stream(self, ofdm_blocks)
terminate_stream(self, frame_start)
serial_to_parallel = blocks.stream_to_vector(gr.sizeof_gr_complex,block_length)
discard_cp = ofdm.vector_mask_dc_null(block_length,cp_length,fft_length,dc_null, [])
ofdm_blocks = discard_cp
self.connect( rx_input, serial_to_parallel, discard_cp )
frame_start = [0]*frame_length
frame_start[0] = 1
frame_start = blocks.vector_source_b(frame_start,True)
print "Disabled time synchronization stage"
print"\t\t\t\t\tframe_length = ",frame_length
if options.ideal is False and options.ideal2 is False:
## Extract preamble, feed to Morelli & Mengali frequency offset estimator
assert( block_header.mm_preamble_pos == 0 )
morelli_foe = ofdm.mm_frequency_estimator( fft_length, L,1,0 )
sampler_preamble = ofdm.vector_sampler( gr.sizeof_gr_complex * fft_length,
1 )
self.connect( ofdm_blocks, ( sampler_preamble, 0 ) )
self.connect( frame_start, ( sampler_preamble, 1 ) )
self.connect( sampler_preamble, morelli_foe )
freq_offset = morelli_foe
## Adaptive LMS FIR filtering of frequency offset
lms_fir = ofdm.lms_fir_ff( 20, 1e-3 ) # TODO: verify parameter choice
self.connect( freq_offset, lms_fir )
freq_offset = lms_fir
#self.zmq_probe_freqoff = zeromq.pub_sink(gr.sizeof_float, 1, "tcp://*:5557")
self.connect(lms_fir, blocks.keep_one_in_n(gr.sizeof_float,20) ,out_disp_cfo)
else:
self.connect(blocks.vector_source_f ([1]) ,out_disp_cfo)
#log_to_file(self, lms_fir, "data/lms_fir.float")
if options.disable_freq_sync or options.ideal or options.ideal2:
if options.ideal is False and options.ideal2 is False:
terminate_stream(self, freq_offset)
freq_offset = blocks.vector_source_f([0.0],True)
print "Disabled frequency synchronization stage"
if options.ideal is False and options.ideal2 is False:
## Correct frequency shift, feed-forward structure
frequency_shift = ofdm.frequency_shift_vcc( fft_length, -1.0/fft_length,
cp_length )
self.connect( ofdm_blocks, ( frequency_shift, 0 ) )
self.connect( freq_offset, ( frequency_shift, 1 ) )
self.connect( frame_start, ( frequency_shift, 2 ) )
ofdm_blocks = frequency_shift
## FFT
fft = fft_blocks.fft_vcc( fft_length, True, [], True )
self.connect( ofdm_blocks, fft )
ofdm_blocks = fft
#log_to_file( self, fft, "data/compen.float" )
## Remove virtual subcarriers
if fft_length > data_subc:
subcarrier_mask = ofdm.vector_mask_dc_null( fft_length, virtual_subc/2,
total_subc, dc_null, [] )
self.connect( ofdm_blocks, subcarrier_mask )
ofdm_blocks = subcarrier_mask
#log_to_file(self, ofdm_blocks, "data/vec_mask.compl")
## Least Squares estimator for channel transfer function (CTF)
if options.logcir:
log_to_file( self, ofdm_blocks, "data/OFDM_Blocks.compl" )
inv_preamble_fd = numpy.array( block_header.pilotsym_fd[
block_header.channel_estimation_pilot[0] ] )
inv_preamble_fd = numpy.concatenate([inv_preamble_fd[:total_subc/2],inv_preamble_fd[total_subc/2+dc_null:]])
#print "Channel estimation pilot: ", inv_preamble_fd
inv_preamble_fd = 1. / inv_preamble_fd
LS_channel_estimator0 = ofdm.multiply_const_vcc( list( inv_preamble_fd ) )
self.connect( ofdm_blocks, LS_channel_estimator0, gr.null_sink(gr.sizeof_gr_complex*total_subc))
log_to_file( self, LS_channel_estimator0, "data/OFDM_Blocks_eq.compl" )
## post-FFT processing
## extract channel estimation preamble from frame
if options.ideal is False and options.ideal2 is False:
chest_pre_trigger = blocks.delay( gr.sizeof_char, 1)
sampled_chest_preamble = ofdm.vector_sampler( gr.sizeof_gr_complex * total_subc, 1)
self.connect( frame_start, chest_pre_trigger )
self.connect( chest_pre_trigger, ( sampled_chest_preamble, 1 ) )
self.connect( ofdm_blocks, ( sampled_chest_preamble, 0 ) )
## Least Squares estimator for channel transfer function (CTF)
inv_preamble_fd = numpy.array( block_header.pilotsym_fd[
block_header.channel_estimation_pilot[0] ] )
inv_preamble_fd = numpy.concatenate([inv_preamble_fd[:total_subc/2],inv_preamble_fd[total_subc/2+dc_null:]])
#print "Channel estimation pilot: ", inv_preamble_fd
inv_preamble_fd = 1. / inv_preamble_fd
LS_channel_estimator = ofdm.multiply_const_vcc( list( inv_preamble_fd ) )
self.connect( sampled_chest_preamble, LS_channel_estimator )
estimated_CTF = LS_channel_estimator
if options.logcir:
log_to_file( self, sampled_chest_preamble, "data/PREAM.compl" )
if not options.disable_ctf_enhancer:
if options.logcir:
ifft1 = fft_blocks.fft_vcc(total_subc,False,[],True)
self.connect( estimated_CTF, ifft1,gr.null_sink(gr.sizeof_gr_complex*total_subc))
summ1 = ofdm.vector_sum_vcc(total_subc)
c2m =gr.complex_to_mag(total_subc)
self.connect( estimated_CTF,summ1 ,gr.null_sink(gr.sizeof_gr_complex))
self.connect( estimated_CTF, c2m,gr.null_sink(gr.sizeof_float*total_subc))
log_to_file( self, ifft1, "data/CIR1.compl" )
log_to_file( self, summ1, "data/CTFsumm1.compl" )
log_to_file( self, estimated_CTF, "data/CTF1.compl" )
log_to_file( self, c2m, "data/CTFmag1.float" )
## MSE enhancer
ctf_mse_enhancer = ofdm.CTF_MSE_enhancer( total_subc, cp_length + cp_length)
self.connect( estimated_CTF, ctf_mse_enhancer )
# log_to_file( self, ctf_mse_enhancer, "data/ctf_mse_enhancer_original.compl")
#ifft3 = fft_blocks.fft_vcc(total_subc,False,[],True)
#null_noise = ofdm.noise_nulling(total_subc, cp_length + cp_length)
#ctf_mse_enhancer = fft_blocks.fft_vcc(total_subc,True,[],True)
#ctf_mse_enhancer = ofdm.vector_mask( fft_length, virtual_subc/2,
# total_subc, [] )
#self.connect( estimated_CTF, ifft3,null_noise,ctf_mse_enhancer )
estimated_CTF = ctf_mse_enhancer
print "Disabled CTF MSE enhancer"
if options.logcir:
ifft2 = fft_blocks.fft_vcc(total_subc,False,[],True)
self.connect( estimated_CTF, ifft2,gr.null_sink(gr.sizeof_gr_complex*total_subc))
summ2 = ofdm.vector_sum_vcc(total_subc)
c2m2 =gr.complex_to_mag(total_subc)
self.connect( estimated_CTF,summ2 ,gr.null_sink(gr.sizeof_gr_complex))
self.connect( estimated_CTF, c2m2,gr.null_sink(gr.sizeof_float*total_subc))
log_to_file( self, ifft2, "data/CIR2.compl" )
log_to_file( self, summ2, "data/CTFsumm2.compl" )
log_to_file( self, estimated_CTF, "data/CTF2.compl" )
log_to_file( self, c2m2, "data/CTFmag2.float" )
## Postprocess the CTF estimate
## CTF -> inverse CTF (for equalizer)
## CTF -> norm |.|^2 (for CTF display)
ctf_postprocess = ofdm.postprocess_CTF_estimate( total_subc )
self.connect( estimated_CTF, ctf_postprocess )
inv_estimated_CTF = ( ctf_postprocess, 0 )
disp_CTF = ( ctf_postprocess, 1 )
# if options.disable_equalization or options.ideal:
# terminate_stream(self, inv_estimated_CTF)
# inv_estimated_CTF_vec = blocks.vector_source_c([1.0/fft_length*math.sqrt(total_subc)]*total_subc,True,total_subc)
# inv_estimated_CTF_str = blocks.vector_to_stream(gr.sizeof_gr_complex, total_subc)
# self.inv_estimated_CTF_mul = ofdm.multiply_const_ccf( 1.0/config.rms_amplitude )
# #inv_estimated_CTF_mul.set_k(1.0/config.rms_amplitude)
# inv_estimated_CTF = blocks.stream_to_vector(gr.sizeof_gr_complex, total_subc)
# self.connect( inv_estimated_CTF_vec, inv_estimated_CTF_str, self.inv_estimated_CTF_mul, inv_estimated_CTF)
# print "Disabled equalization stage"
'''
## LMS Phase tracking
## Track residual frequency offset and sampling clock frequency offset
nondata_blocks = []
for i in range(config.frame_length):
if i in config.training_data.pilotsym_pos:
nondata_blocks.append(i)
print"\t\t\t\t\tnondata_blocks=",nondata_blocks
pilot_subc = block_header.pilot_tones
pilot_subcarriers = block_header.pilot_subc_sym
print "PILOT SUBCARRIERS: ", pilot_subcarriers
phase_tracking = ofdm.lms_phase_tracking_03( total_subc, pilot_subc,
nondata_blocks, pilot_subcarriers,0 )
self.connect( ofdm_blocks, ( phase_tracking, 0 ) )
self.connect( inv_estimated_CTF, ( phase_tracking, 1 ) )
self.connect( frame_start, ( phase_tracking, 2 ) ) ##
if options.scatter_plot_before_phase_tracking:
self.before_phase_tracking = equalizer
if options.disable_phase_tracking or options.ideal:
terminate_stream(self, phase_tracking)
print "Disabled phase tracking stage"
else:
ofdm_blocks = phase_tracking
'''
## Channel Equalizer
if options.disable_equalization or options.ideal or options.ideal2:
print "Disabled equalization stage"
if options.ideal is False and options.ideal2 is False:
terminate_stream(self, inv_estimated_CTF)
else:
equalizer = ofdm.channel_equalizer( total_subc )
self.connect( ofdm_blocks, ( equalizer, 0 ) )
self.connect( inv_estimated_CTF, ( equalizer, 1 ) )
self.connect( frame_start, ( equalizer, 2 ) )
ofdm_blocks = equalizer
#log_to_file(self, equalizer,"data/equalizer_siso.compl")
#log_to_file(self, ofdm_blocks, "data/equalizer.compl")
## LMS Phase tracking
## Track residual frequency offset and sampling clock frequency offset
if options.ideal is False and options.ideal2 is False:
nondata_blocks = []
for i in range(config.frame_length):
if i in config.training_data.pilotsym_pos:
nondata_blocks.append(i)
print"\t\t\t\t\tnondata_blocks=",nondata_blocks
pilot_subc = block_header.pilot_tones
pilot_subcarriers = block_header.pilot_subc_sym
print "PILOT SUBCARRIERS: ", pilot_subcarriers
phase_tracking2 = ofdm.lms_phase_tracking_dc_null( total_subc, pilot_subc,
nondata_blocks, pilot_subcarriers, dc_null )
self.connect( ofdm_blocks, ( phase_tracking2, 0 ) )
self.connect( frame_start, ( phase_tracking2, 1 ) ) ##
if options.disable_phase_tracking or options.ideal or options.ideal2:
if options.ideal is False and options.ideal2 is False:
terminate_stream(self, phase_tracking2)
print "Disabled phase tracking stage"
else:
ofdm_blocks = phase_tracking2
if options.scatter_plot_before_phase_tracking:
self.before_phase_tracking = equalizer
## Output connections
self.connect( ofdm_blocks, out_ofdm_blocks )
self.connect( frame_start, out_frame_start )
if options.ideal is False and options.ideal2 is False:
self.connect( disp_CTF, out_disp_ctf )
else:
self.connect( blocks.vector_source_f([1.0]*total_subc),blocks.stream_to_vector(gr.sizeof_float,total_subc), out_disp_ctf )
if log:
log_to_file( self, sc_metric, "data/sc_metric.float" )
log_to_file( self, gi_metric, "data/gi_metric.float" )
log_to_file( self, morelli_foe, "data/morelli_foe.float" )
log_to_file( self, lms_fir, "data/lms_fir.float" )
log_to_file( self, sampler_preamble, "data/preamble.compl" )
log_to_file( self, sync, "data/sync.compl" )
log_to_file( self, frequency_shift, "data/frequency_shift.compl" )
log_to_file( self, fft, "data/fft.compl")
log_to_file( self, fft, "data/fft.float", mag=True )
if vars().has_key( 'subcarrier_mask' ):
log_to_file( self, subcarrier_mask, "data/subcarrier_mask.compl" )
log_to_file( self, ofdm_blocks, "data/ofdm_blocks_out.compl" )
log_to_file( self, frame_start, "data/frame_start.float",
char_to_float=True )
log_to_file( self, sampled_chest_preamble,
"data/sampled_chest_preamble.compl" )
log_to_file( self, LS_channel_estimator,
"data/ls_channel_estimator.compl" )
log_to_file( self, LS_channel_estimator,
"data/ls_channel_estimator.float", mag=True )
if "ctf_mse_enhancer" in locals():
log_to_file( self, ctf_mse_enhancer, "data/ctf_mse_enhancer.compl" )
log_to_file( self, ctf_mse_enhancer, "data/ctf_mse_enhancer.float",
mag=True )
log_to_file( self, (ctf_postprocess,0), "data/inc_estimated_ctf.compl" )
log_to_file( self, (ctf_postprocess,1), "data/disp_ctf.float" )
log_to_file( self, equalizer, "data/equalizer.compl" )
log_to_file( self, equalizer, "data/equalizer.float", mag=True )
log_to_file( self, phase_tracking, "data/phase_tracking.compl" )
def __init__(self, options, log=False):
## Read configuration
config = station_configuration()
fft_length = config.fft_length
cp_length = config.cp_length
block_header = config.training_data
data_subc = config.data_subcarriers
virtual_subc = config.virtual_subcarriers
total_subc = config.subcarriers
block_length = config.block_length
frame_length = config.frame_length
L = block_header.mm_periodic_parts
frame_data_blocks = options.data_blocks
## Set Input/Output signature
gr.hier_block2.__init__(
self,
"ofdm_inner_receiver",
gr.io_signature(2, 2, gr.sizeof_gr_complex),
gr.io_signature5(
5,
5,
gr.sizeof_gr_complex * total_subc, # OFDM blocks
gr.sizeof_char, # Frame start
gr.sizeof_float * total_subc, # Normalized |CTF|^2
gr.sizeof_char, # Frame start
gr.sizeof_float * total_subc)) # Normalized |CTF|^2
## Input and output ports
self.input = rx_input = (self, 0)
self.input2 = rx2_input = (self, 1)
out_ofdm_blocks = (self, 0)
out_frame_start = (self, 1)
out_disp_ctf = (self, 2)
out_frame_start2 = (self, 3)
out_disp_ctf2 = (self, 4)
## pre-FFT processing
## Compute autocorrelations for S&C preamble
## and cyclic prefix
sc_metric = autocorrelator(fft_length / 2, fft_length / 2)
gi_metric = autocorrelator(fft_length, cp_length)
self.connect(rx_input, sc_metric)
self.connect(rx_input, gi_metric)
sc_metric2 = autocorrelator(fft_length / 2, fft_length / 2)
gi_metric2 = autocorrelator(fft_length, cp_length)
self.connect(rx2_input, sc_metric2)
self.connect(rx2_input, gi_metric2)
## Sync. Output contains OFDM blocks
sync = ofdm.time_sync(fft_length, cp_length)
self.connect(rx_input, (sync, 0))
self.connect(sc_metric, (sync, 1))
self.connect(gi_metric, (sync, 2))
ofdm_blocks = (sync, 0)
frame_start = (sync, 1)
sync2 = ofdm.time_sync(fft_length, cp_length)
self.connect(rx2_input, (sync2, 0))
self.connect(sc_metric2, (sync2, 1))
self.connect(gi_metric2, (sync2, 2))
ofdm_blocks2 = (sync2, 0)
frame_start2 = (sync2, 1)
if options.disable_time_sync or options.ideal:
terminate_stream(self, ofdm_blocks)
terminate_stream(self, ofdm_blocks2)
terminate_stream(self, frame_start)
terminate_stream(self, frame_start2)
serial_to_parallel = blocks.stream_to_vector(
gr.sizeof_gr_complex, block_length)
serial_to_parallel2 = blocks.stream_to_vector(
gr.sizeof_gr_complex, block_length)
discard_cp = ofdm.vector_mask(block_length, cp_length, fft_length,
[])
discard_cp2 = ofdm.vector_mask(block_length, cp_length, fft_length,
[])
ofdm_blocks = discard_cp
ofdm_blocks2 = discard_cp2
self.connect(rx_input, serial_to_parallel, discard_cp)
self.connect(rx2_input, serial_to_parallel2, discard_cp2)
frame_start = [0] * frame_length
frame_start[0] = 1
frame_start = blocks.vector_source_b(frame_start, True)
frame_start2 = [0] * frame_length
frame_start2[0] = 1
frame_start2 = blocks.vector_source_b(frame_start2, True)
print "Disabled time synchronization stage"
## Extract preamble, feed to Morelli & Mengali frequency offset estimator
assert (block_header.mm_preamble_pos == 0)
morelli_foe = ofdm.mm_frequency_estimator(fft_length, L)
sampler_preamble = ofdm.vector_sampler(
gr.sizeof_gr_complex * fft_length, 1)
self.connect(ofdm_blocks, (sampler_preamble, 0))
self.connect(frame_start, (sampler_preamble, 1))
self.connect(sampler_preamble, morelli_foe)
freq_offset = morelli_foe
morelli_foe2 = ofdm.mm_frequency_estimator(fft_length, L)
sampler_preamble2 = ofdm.vector_sampler(
gr.sizeof_gr_complex * fft_length, 1)
self.connect(ofdm_blocks2, (sampler_preamble2, 0))
self.connect(frame_start2, (sampler_preamble2, 1))
self.connect(sampler_preamble2, morelli_foe2)
freq_offset2 = morelli_foe2
## Adaptive LMS FIR filtering of frequency offset
lms_fir = ofdm.lms_fir_ff(20, 1e-3) # TODO: verify parameter choice
self.connect(freq_offset, lms_fir)
freq_offset = lms_fir
lms_fir2 = ofdm.lms_fir_ff(20, 1e-3) # TODO: verify parameter choice
self.connect(freq_offset2, lms_fir2)
freq_offset2 = lms_fir2
# log_to_file(self, lms_fir, "data/lms_fir.float")
# log_to_file(self, lms_fir2, "data/lms_fir2.float")
if options.disable_freq_sync or options.ideal:
terminate_stream(self, freq_offset)
terminate_stream(self, freq_offset2)
freq_offset = blocks.vector_source_f([0.0], True)
freq_offset2 = blocks.vector_source_f([0.0], True)
print "Disabled frequency synchronization stage"
## Correct frequency shift, feed-forward structure
frequency_shift = ofdm.frequency_shift_vcc(fft_length,
-1.0 / fft_length,
cp_length)
self.connect(ofdm_blocks, (frequency_shift, 0))
self.connect(freq_offset, (frequency_shift, 1))
self.connect(frame_start, (frequency_shift, 2))
ofdm_blocks = frequency_shift
frequency_shift2 = ofdm.frequency_shift_vcc(fft_length,
-1.0 / fft_length,
cp_length)
self.connect(ofdm_blocks2, (frequency_shift2, 0))
self.connect(freq_offset2, (frequency_shift2, 1))
self.connect(frame_start2, (frequency_shift2, 2))
ofdm_blocks2 = frequency_shift2
## FFT
fft = fft_blocks.fft_vcc(fft_length, True, [], True)
self.connect(ofdm_blocks, fft)
ofdm_blocks = fft
fft2 = fft_blocks.fft_vcc(fft_length, True, [], True)
self.connect(ofdm_blocks2, fft2)
ofdm_blocks2 = fft2
## Remove virtual subcarriers
if fft_length > data_subc:
subcarrier_mask = ofdm.vector_mask(fft_length, virtual_subc / 2,
total_subc, [])
self.connect(ofdm_blocks, subcarrier_mask)
ofdm_blocks = subcarrier_mask
subcarrier_mask2 = ofdm.vector_mask(fft_length, virtual_subc / 2,
total_subc, [])
self.connect(ofdm_blocks2, subcarrier_mask2)
ofdm_blocks2 = subcarrier_mask2
## Least Squares estimator for channel transfer function (CTF)
# if options.logcir:
# log_to_file( self, ofdm_blocks, "data/OFDM_Blocks.compl" )
# inv_preamble_fd = numpy.array( block_header.pilotsym_fd[
# block_header.channel_estimation_pilot[0] ] )
# print "Channel estimation pilot: ", inv_preamble_fd
# inv_preamble_fd = 1. / inv_preamble_fd
# LS_channel_estimator0 = ofdm.multiply_const_vcc( list( inv_preamble_fd ) )
# self.connect( ofdm_blocks, LS_channel_estimator0, blocks.null_sink(gr.sizeof_gr_complex*total_subc))
# log_to_file( self, LS_channel_estimator0, "data/OFDM_Blocks_eq.compl" )
## post-FFT processing
if options.est_preamble == 1:
## extract channel estimation preamble from frame
chest_pre_trigger = blocks.delay(gr.sizeof_char, 1)
sampled_chest_preamble = \
ofdm.vector_sampler( gr.sizeof_gr_complex * total_subc, 1 )
self.connect(frame_start, chest_pre_trigger)
self.connect(chest_pre_trigger, (sampled_chest_preamble, 1))
self.connect(ofdm_blocks, (sampled_chest_preamble, 0))
chest_pre_trigger2 = blocks.delay(gr.sizeof_char, 1)
sampled_chest_preamble2 = \
ofdm.vector_sampler( gr.sizeof_gr_complex * total_subc, 1 )
self.connect(frame_start2, chest_pre_trigger2)
self.connect(chest_pre_trigger2, (sampled_chest_preamble2, 1))
self.connect(ofdm_blocks2, (sampled_chest_preamble2, 0))
## Least Squares estimator for channel transfer function (CTF)
# Taking inverse for estimating h11 (h12)
inv_preamble_fd_1 = numpy.array(block_header.pilotsym_fd_1[
block_header.channel_estimation_pilot[0]])
inv_preamble_fd_1 = inv_preamble_fd_1[0::2]
# Taking inverse for estimating h21 (h22)
inv_preamble_fd_2 = numpy.array(block_header.pilotsym_fd_2[
block_header.channel_estimation_pilot[0]])
inv_preamble_fd_2 = inv_preamble_fd_2[1::2]
inv_preamble_fd_1 = 1. / inv_preamble_fd_1
inv_preamble_fd_2 = 1. / inv_preamble_fd_2
## Least Squares estimator for channel transfer function (CTF)
dd = []
for i in range(total_subc / 2):
dd.extend([i * 2])
skip_block_1 = ofdm.int_skip(total_subc, 2, 0)
skip_block_2 = ofdm.int_skip(total_subc, 2, 1)
# inta_estim_1 = ofdm.interpolator(total_subc,2,dd)
# inta_estim_2 = ofdm.interpolator(total_subc,2,dd)
LS_channel_estimator_1 = ofdm.multiply_const_vcc(
list(inv_preamble_fd_1))
LS_channel_estimator_2 = ofdm.multiply_const_vcc(
list(inv_preamble_fd_2))
self.connect(sampled_chest_preamble, skip_block_1,
LS_channel_estimator_1) #,inta_estim_1 )
self.connect(sampled_chest_preamble, skip_block_2,
LS_channel_estimator_2) #,inta_estim_2 )
estimated_CTF_1 = LS_channel_estimator_1 # h0
estimated_CTF_2 = LS_channel_estimator_2 # h1
skip_block_3 = ofdm.int_skip(total_subc, 2, 0)
skip_block_4 = ofdm.int_skip(total_subc, 2, 1)
# inta_estim_3 = ofdm.interpolator(total_subc,2,dd)
# inta_estim_4 = ofdm.interpolator(total_subc,2,dd)
LS_channel_estimator_3 = ofdm.multiply_const_vcc(
list(inv_preamble_fd_1))
LS_channel_estimator_4 = ofdm.multiply_const_vcc(
list(inv_preamble_fd_2))
self.connect(sampled_chest_preamble2, skip_block_3,
LS_channel_estimator_3) #,inta_estim_3 )
self.connect(sampled_chest_preamble2, skip_block_4,
LS_channel_estimator_4) #,inta_estim_4 )
estimated_CTF_3 = LS_channel_estimator_3 # h2
estimated_CTF_4 = LS_channel_estimator_4 # h3
if not options.disable_ctf_enhancer:
# if options.logcir:
# ifft1 = fft_blocks.fft_vcc(total_subc,False,[],True)
# self.connect( estimated_CTF, ifft1,blocks.null_sink(gr.sizeof_gr_complex*total_subc))
# summ1 = ofdm.vector_sum_vcc(total_subc)
# c2m =gr.complex_to_mag(total_subc)
# self.connect( estimated_CTF,summ1 ,blocks.null_sink(gr.sizeof_gr_complex))
# self.connect( estimated_CTF, c2m,blocks.null_sink(gr.sizeof_float*total_subc))
# log_to_file( self, ifft1, "data/CIR1.compl" )
# log_to_file( self, summ1, "data/CTFsumm1.compl" )
# log_to_file( self, estimated_CTF, "data/CTF1.compl" )
# log_to_file( self, c2m, "data/CTFmag1.float" )
## MSE enhancer
ctf_mse_enhancer_1 = ofdm.CTF_MSE_enhancer(
total_subc, cp_length + cp_length)
ctf_mse_enhancer_2 = ofdm.CTF_MSE_enhancer(
total_subc, cp_length + cp_length)
self.connect(estimated_CTF_1, ctf_mse_enhancer_1)
self.connect(estimated_CTF_2, ctf_mse_enhancer_2)
ctf_mse_enhancer_3 = ofdm.CTF_MSE_enhancer(
total_subc, cp_length + cp_length)
ctf_mse_enhancer_4 = ofdm.CTF_MSE_enhancer(
total_subc, cp_length + cp_length)
self.connect(estimated_CTF_3, ctf_mse_enhancer_3)
self.connect(estimated_CTF_4, ctf_mse_enhancer_4)
estimated_CTF_1 = ctf_mse_enhancer_1
estimated_CTF_2 = ctf_mse_enhancer_2
estimated_CTF_3 = ctf_mse_enhancer_3
estimated_CTF_4 = ctf_mse_enhancer_4
print "Disabled CTF MSE enhancer"
ctf_postprocess_1 = ofdm.postprocess_CTF_estimate(total_subc / 2)
self.connect(estimated_CTF_1, (ctf_postprocess_1, 0))
ctf_postprocess_2 = ofdm.postprocess_CTF_estimate(total_subc / 2)
self.connect(estimated_CTF_2, (ctf_postprocess_2, 0))
ctf_postprocess_3 = ofdm.postprocess_CTF_estimate(total_subc / 2)
self.connect(estimated_CTF_3, (ctf_postprocess_3, 0))
ctf_postprocess_4 = ofdm.postprocess_CTF_estimate(total_subc / 2)
self.connect(estimated_CTF_4, (ctf_postprocess_4, 0))
inv_CTF_1 = (ctf_postprocess_1, 0)
disp_CTF_1 = (ctf_postprocess_1, 1)
inv_CTF_2 = (ctf_postprocess_2, 0)
disp_CTF_2 = (ctf_postprocess_2, 1)
inv_CTF_3 = (ctf_postprocess_3, 0)
disp_CTF_3 = (ctf_postprocess_3, 1)
inv_CTF_4 = (ctf_postprocess_4, 0)
disp_CTF_4 = (ctf_postprocess_4, 1)
disp_CTF_RX0 = blocks.add_ff(total_subc / 2)
disp_CTF_RX1 = blocks.add_ff(total_subc / 2)
self.connect(disp_CTF_1, (disp_CTF_RX0, 0))
self.connect(disp_CTF_2, (disp_CTF_RX0, 1))
self.connect(disp_CTF_3, (disp_CTF_RX1, 0))
self.connect(disp_CTF_4, (disp_CTF_RX1, 1))
terminate_stream(self, disp_CTF_RX0)
terminate_stream(self, disp_CTF_RX1)
disp_CTF_RX0 = blocks.null_source(gr.sizeof_float * total_subc)
disp_CTF_RX1 = blocks.null_source(gr.sizeof_float * total_subc)
## Channel Equalizer
#log_to_file(self, ofdm_blocks, "data/vec_mask.compl")
#log_to_file(self, ofdm_blocks2, "data/vec_mask2.compl")
nondata_blocks = []
for i in range(config.frame_length):
if i in config.training_data.pilotsym_pos:
nondata_blocks.append(i)
pilot_subc = block_header.pilot_tones
pilot_subcarriers = block_header.pilot_subc_sym
print "PILOT SUBCARRIERS: ", pilot_subcarriers
phase_tracking = ofdm.lms_phase_tracking_03(
total_subc, pilot_subc, nondata_blocks, pilot_subcarriers, 0)
phase_tracking2 = ofdm.lms_phase_tracking_03(
total_subc, pilot_subc, nondata_blocks, pilot_subcarriers, 0)
##phase_tracking = ofdm.LMS_phase_tracking2( total_subc, pilot_subc,
## nondata_blocks )
##phase_tracking2 = ofdm.LMS_phase_tracking2( total_subc, pilot_subc,
## nondata_blocks )
# self.connect( ofdm_blocks, ( phase_tracking, 0 ) )
# self.connect( ofdm_blocks2, ( phase_tracking, 1 ))
# self.connect( inv_CTF_1, ( phase_tracking, 2 ) )
# self.connect( inv_CTF_3, ( phase_tracking, 3 ) )
# self.connect( frame_start, ( phase_tracking, 4 ) )
# self.connect( frame_start2, ( phase_tracking, 5) )
#
# self.connect( ofdm_blocks2, ( phase_tracking2, 0 ) )
# self.connect( ofdm_blocks, ( phase_tracking2, 1 ))
# self.connect( inv_CTF_3, ( phase_tracking2, 2 ) )
# self.connect( inv_CTF_1, ( phase_tracking2, 3 ) )
# self.connect( frame_start2, ( phase_tracking2, 4 ) )
# self.connect( frame_start, ( phase_tracking2, 5 ) )
self.connect(ofdm_blocks, (phase_tracking, 0))
self.connect(inv_CTF_1, (phase_tracking, 1))
self.connect(frame_start, (phase_tracking, 2))
self.connect(ofdm_blocks2, (phase_tracking2, 0))
self.connect(inv_CTF_3, (phase_tracking2, 1))
self.connect(frame_start2, (phase_tracking2, 2))
#ofdm_blocks = phase_tracking
#ofdm_blocks2 = phase_tracking2
self.connect(phase_tracking,
blocks.null_sink(gr.sizeof_gr_complex * total_subc))
self.connect(phase_tracking2,
blocks.null_sink(gr.sizeof_gr_complex * total_subc))
terminate_stream(self, inv_CTF_2)
terminate_stream(self, inv_CTF_4)
#terminate_stream(self, inv_CTF_1)
#terminate_stream(self, inv_CTF_3)
terminate_stream(self, estimated_CTF_3)
terminate_stream(self, estimated_CTF_4)
##terminate_stream(self, (phase_tracking,1))
##terminate_stream(self, (phase_tracking2,1))
'''equalizer = ofdm.channel_equalizer_mimo_2( total_subc )
self.connect( ofdm_blocks, ( equalizer, 0 ) )
self.connect( ofdm_blocks2, ( equalizer, 1 ) )
self.connect( inv_CTF_1, ( equalizer, 2 ) )
self.connect( inv_CTF_2, ( equalizer, 3 ) )
self.connect( inv_CTF_3, ( equalizer, 4 ) )
self.connect( inv_CTF_4, ( equalizer, 5 ) )
self.connect( frame_start, ( equalizer, 6 ) )
self.connect( frame_start2, ( equalizer, 7 ) )
ofdm_blocks = equalizer'''
terminate_stream(self, inv_CTF_1)
terminate_stream(self, inv_CTF_3)
equalizer = ofdm.channel_equalizer_mimo_2(total_subc)
self.connect(ofdm_blocks, (equalizer, 0))
self.connect(estimated_CTF_1, (equalizer, 1))
self.connect(estimated_CTF_2, (equalizer, 2))
self.connect(frame_start, (equalizer, 3))
ofdm_blocks = equalizer
equalizer2 = ofdm.channel_equalizer_mimo_2(total_subc)
self.connect(ofdm_blocks2, (equalizer2, 0))
self.connect(estimated_CTF_3, (equalizer2, 1))
self.connect(estimated_CTF_4, (equalizer2, 2))
self.connect(frame_start2, (equalizer2, 3))
ofdm_blocks2 = equalizer2
#ofdm_blocks = equalizer
#ofdm_blocks2 = equalizer2
#log_to_file(self, equalizer,"data/equalizer.compl")
#log_to_file(self, ofdm_blocks2,"data/equalizer.compl")
#log_to_file(self, ofdm_blocks,"data/equalizer2.compl")
## LMS Phase tracking
## Track residual frequency offset and sampling clock frequency offset
'''
nondata_blocks = []
for i in range(config.frame_length):
if i in config.training_data.pilotsym_pos:
nondata_blocks.append(i)
pilot_subc = block_header.pilot_tones
phase_tracking = ofdm.LMS_phase_tracking2( total_subc, pilot_subc,
nondata_blocks )
self.connect( equalizer, ( phase_tracking, 0 ) )
self.connect( frame_start, ( phase_tracking, 1 ) )
phase_tracking2 = ofdm.LMS_phase_tracking2( total_subc, pilot_subc,
nondata_blocks )
self.connect( equalizer2, ( phase_tracking2, 0 ) )
self.connect( frame_start2, ( phase_tracking2, 1 ) )
# if options.scatter_plot_before_phase_tracking:
# self.before_phase_tracking = equalizer
if options.disable_phase_tracking or options.ideal:
terminate_stream(self, phase_tracking)
terminate_stream(self, phase_tracking2)
print "Disabled phase tracking stage"
else:
ofdm_blocks = phase_tracking
ofdm_blocks2 = phase_tracking2
log_to_file(self,phase_tracking, "data/phase_tracking.compl")
'''
combine = blocks.add_cc(config.subcarriers)
self.connect(ofdm_blocks, (combine, 0))
self.connect(ofdm_blocks2, (combine, 1))
norm_val = [0.5] * 208
norm = ofdm.multiply_const_vcc(norm_val)
self.connect(combine, norm)
ofdm_blocks = norm
## div = gr.multiply_cc(config.subcarriers)
## const = blocks.vector_source_c([[0.5+0]*config.subcarriers],True)
## self.connect(ofdm_blocks,div)
## self.connect(const,(div,1))
## ofdm_blocks=div
# log_to_file(self,combine,"data/combine.compl")
## Output connections
self.connect(ofdm_blocks, out_ofdm_blocks)
self.connect(frame_start, out_frame_start)
self.connect(disp_CTF_RX0, out_disp_ctf)
self.connect(frame_start2, out_frame_start2)
self.connect(disp_CTF_RX1, out_disp_ctf2)
else:
## extract channel estimation preamble from frame
chest_pre_trigger_11 = blocks.delay(gr.sizeof_char, 1)
chest_pre_trigger_12 = blocks.delay(gr.sizeof_char, 2)
sampled_chest_preamble_11 = \
ofdm.vector_sampler( gr.sizeof_gr_complex * total_subc, 1 )
sampled_chest_preamble_12 = \
ofdm.vector_sampler( gr.sizeof_gr_complex * total_subc, 1 )
self.connect(frame_start, chest_pre_trigger_11)
self.connect(chest_pre_trigger_11, (sampled_chest_preamble_11, 1))
self.connect(ofdm_blocks, (sampled_chest_preamble_11, 0))
self.connect(frame_start, chest_pre_trigger_12)
self.connect(chest_pre_trigger_12, (sampled_chest_preamble_12, 1))
self.connect(ofdm_blocks, (sampled_chest_preamble_12, 0))
chest_pre_trigger_21 = blocks.delay(gr.sizeof_char, 1)
chest_pre_trigger_22 = blocks.delay(gr.sizeof_char, 2)
sampled_chest_preamble_21 = \
ofdm.vector_sampler( gr.sizeof_gr_complex * total_subc, 1 )
sampled_chest_preamble_22 = \
ofdm.vector_sampler( gr.sizeof_gr_complex * total_subc, 1 )
self.connect(frame_start2, chest_pre_trigger_21)
self.connect(chest_pre_trigger_21, (sampled_chest_preamble_21, 1))
self.connect(ofdm_blocks2, (sampled_chest_preamble_21, 0))
self.connect(frame_start2, chest_pre_trigger_22)
self.connect(chest_pre_trigger_22, (sampled_chest_preamble_22, 1))
self.connect(ofdm_blocks2, (sampled_chest_preamble_22, 0))
# Taking inverse for estimating h11 (h12)
inv_preamble_fd_1 = numpy.array(block_header.pilotsym_fd_1[
block_header.channel_estimation_pilot[0]])
#inv_preamble_fd_1 = inv_preamble_fd_1[0::2]
# Taking inverse for estimating h21 (h22)
inv_preamble_fd_2 = numpy.array(block_header.pilotsym_fd_2[
block_header.channel_estimation_pilot[0] + 1])
#inv_preamble_fd_2 = inv_preamble_fd_2[1::2]
inv_preamble_fd_1 = 1. / inv_preamble_fd_1
inv_preamble_fd_2 = 1. / inv_preamble_fd_2
# dd = []
#for i in range (total_subc/2):
# dd.extend([i*2])
skip_block_11 = ofdm.int_skip(total_subc, 2, 0)
skip_block_111 = ofdm.int_skip(total_subc, 2, 0)
skip_block_12 = ofdm.int_skip(total_subc, 2, 1)
# inta_estim_1 = ofdm.interpolator(total_subc,2,dd)
# inta_estim_2 = ofdm.interpolator(total_subc,2,dd)
LS_channel_estimator_11 = ofdm.multiply_const_vcc(
list(inv_preamble_fd_1))
LS_channel_estimator_12 = ofdm.multiply_const_vcc(
list(inv_preamble_fd_2))
self.connect(sampled_chest_preamble_11,
LS_channel_estimator_11) #,inta_estim_1 )
self.connect(sampled_chest_preamble_12,
LS_channel_estimator_12) #,inta_estim_2 )
estimated_CTF_11 = LS_channel_estimator_11 # h0
estimated_CTF_12 = LS_channel_estimator_12 # h1
skip_block_21 = ofdm.int_skip(total_subc, 2, 0)
skip_block_211 = ofdm.int_skip(total_subc, 2, 0)
skip_block_22 = ofdm.int_skip(total_subc, 2, 1)
# inta_estim_3 = ofdm.interpolator(total_subc,2,dd)
# inta_estim_4 = ofdm.interpolator(total_subc,2,dd)
LS_channel_estimator_21 = ofdm.multiply_const_vcc(
list(inv_preamble_fd_1))
LS_channel_estimator_22 = ofdm.multiply_const_vcc(
list(inv_preamble_fd_2))
self.connect(sampled_chest_preamble_21,
LS_channel_estimator_21) #,inta_estim_3 )
self.connect(sampled_chest_preamble_22,
LS_channel_estimator_22) #,inta_estim_4 )
estimated_CTF_21 = LS_channel_estimator_21 # h2
estimated_CTF_22 = LS_channel_estimator_22 # h3
if not options.disable_ctf_enhancer:
# if options.logcir:
# ifft1 = fft_blocks.fft_vcc(total_subc,False,[],True)
# self.connect( estimated_CTF, ifft1,blocks.null_sink(gr.sizeof_gr_complex*total_subc))
# summ1 = ofdm.vector_sum_vcc(total_subc)
# c2m =gr.complex_to_mag(total_subc)
# self.connect( estimated_CTF,summ1 ,blocks.null_sink(gr.sizeof_gr_complex))
# self.connect( estimated_CTF, c2m,blocks.null_sink(gr.sizeof_float*total_subc))
# log_to_file( self, ifft1, "data/CIR1.compl" )
# log_to_file( self, summ1, "data/CTFsumm1.compl" )
# log_to_file( self, estimated_CTF, "data/CTF1.compl" )
# log_to_file( self, c2m, "data/CTFmag1.float" )
## MSE enhancer
ctf_mse_enhancer_11 = ofdm.CTF_MSE_enhancer(
total_subc, cp_length + cp_length)
ctf_mse_enhancer_12 = ofdm.CTF_MSE_enhancer(
total_subc, cp_length + cp_length)
self.connect(estimated_CTF_11, ctf_mse_enhancer_11)
self.connect(estimated_CTF_12, ctf_mse_enhancer_12)
ctf_mse_enhancer_21 = ofdm.CTF_MSE_enhancer(
total_subc, cp_length + cp_length)
ctf_mse_enhancer_22 = ofdm.CTF_MSE_enhancer(
total_subc, cp_length + cp_length)
self.connect(estimated_CTF_21, ctf_mse_enhancer_21)
self.connect(estimated_CTF_22, ctf_mse_enhancer_22)
estimated_CTF_11 = ctf_mse_enhancer_11
estimated_CTF_12 = ctf_mse_enhancer_12
estimated_CTF_21 = ctf_mse_enhancer_21
estimated_CTF_22 = ctf_mse_enhancer_22
print "Disabled CTF MSE enhancer"
ctf_postprocess_11 = ofdm.postprocess_CTF_estimate(total_subc)
self.connect(estimated_CTF_11, (ctf_postprocess_11, 0))
ctf_postprocess_12 = ofdm.postprocess_CTF_estimate(total_subc)
self.connect(estimated_CTF_12, (ctf_postprocess_12, 0))
ctf_postprocess_21 = ofdm.postprocess_CTF_estimate(total_subc)
self.connect(estimated_CTF_21, (ctf_postprocess_21, 0))
ctf_postprocess_22 = ofdm.postprocess_CTF_estimate(total_subc)
self.connect(estimated_CTF_22, (ctf_postprocess_22, 0))
inv_CTF_11 = (ctf_postprocess_11, 0)
disp_CTF_11 = (ctf_postprocess_11, 1)
inv_CTF_12 = (ctf_postprocess_12, 0)
disp_CTF_12 = (ctf_postprocess_12, 1)
inv_CTF_21 = (ctf_postprocess_21, 0)
disp_CTF_21 = (ctf_postprocess_21, 1)
inv_CTF_22 = (ctf_postprocess_22, 0)
disp_CTF_22 = (ctf_postprocess_22, 1)
#disp_CTF_RX0 = blocks.add_ff(total_subc)
#disp_CTF_RX1 = blocks.add_ff(total_subc)
#self.connect ( disp_CTF_11, (disp_CTF_RX0, 0) )
#self.connect ( disp_CTF_12, (disp_CTF_RX0, 1) )
#self.connect ( disp_CTF_21, (disp_CTF_RX1, 0) )
#self.connect ( disp_CTF_22, (disp_CTF_RX1, 1) )
terminate_stream(self, disp_CTF_21)
terminate_stream(self, disp_CTF_22)
disp_CTF_RX0 = disp_CTF_11
disp_CTF_RX1 = disp_CTF_12
## Channel Equalizer
#log_to_file(self, ofdm_blocks, "data/vec_mask.compl")
#log_to_file(self, ofdm_blocks2, "data/vec_mask2.compl")
nondata_blocks = []
for i in range(config.frame_length):
if i in config.training_data.pilotsym_pos:
nondata_blocks.append(i)
pilot_subc = block_header.pilot_tones
pilot_subcarriers = block_header.pilot_subc_sym
print "PILOT SUBCARRIERS: ", pilot_subcarriers
phase_tracking = ofdm.lms_phase_tracking_03(
total_subc, pilot_subc, nondata_blocks, pilot_subcarriers, 0)
phase_tracking2 = ofdm.lms_phase_tracking_03(
total_subc, pilot_subc, nondata_blocks, pilot_subcarriers, 0)
##phase_tracking = ofdm.LMS_phase_tracking2( total_subc, pilot_subc,
## nondata_blocks )
##phase_tracking2 = ofdm.LMS_phase_tracking2( total_subc, pilot_subc,
## nondata_blocks )
# self.connect( ofdm_blocks, ( phase_tracking, 0 ) )
# self.connect( ofdm_blocks2, ( phase_tracking, 1 ))
# self.connect( inv_CTF_1, ( phase_tracking, 2 ) )
# self.connect( inv_CTF_3, ( phase_tracking, 3 ) )
# self.connect( frame_start, ( phase_tracking, 4 ) )
# self.connect( frame_start2, ( phase_tracking, 5) )
#
# self.connect( ofdm_blocks2, ( phase_tracking2, 0 ) )
# self.connect( ofdm_blocks, ( phase_tracking2, 1 ))
# self.connect( inv_CTF_3, ( phase_tracking2, 2 ) )
# self.connect( inv_CTF_1, ( phase_tracking2, 3 ) )
# self.connect( frame_start2, ( phase_tracking2, 4 ) )
# self.connect( frame_start, ( phase_tracking2, 5 ) )
self.connect(ofdm_blocks, (phase_tracking, 0))
self.connect(inv_CTF_11, skip_block_111, (phase_tracking, 1))
self.connect(frame_start, (phase_tracking, 2))
self.connect(ofdm_blocks2, (phase_tracking2, 0))
self.connect(inv_CTF_21, skip_block_211, (phase_tracking2, 1))
self.connect(frame_start2, (phase_tracking2, 2))
if options.disable_phase_tracking or options.ideal:
terminate_stream(self, phase_tracking)
terminate_stream(self, phase_tracking2)
print "Disabled phase tracking stage"
else:
ofdm_blocks = phase_tracking
ofdm_blocks2 = phase_tracking2
self.connect(phase_tracking,
blocks.null_sink(gr.sizeof_gr_complex * total_subc))
self.connect(phase_tracking2,
blocks.null_sink(gr.sizeof_gr_complex * total_subc))
terminate_stream(self, inv_CTF_12)
terminate_stream(self, inv_CTF_22)
#terminate_stream(self, inv_CTF_1)
#terminate_stream(self, inv_CTF_3)
#terminate_stream(self, estimated_CTF_21)
#terminate_stream(self, estimated_CTF_22)
##terminate_stream(self, (phase_tracking,1))
##terminate_stream(self, (phase_tracking2,1))
equalizer = ofdm.channel_equalizer_mimo_3(total_subc)
self.connect(ofdm_blocks, (equalizer, 0))
self.connect(ofdm_blocks2, (equalizer, 1))
self.connect(estimated_CTF_11, skip_block_11, (equalizer, 2))
self.connect(estimated_CTF_12, skip_block_12, (equalizer, 3))
self.connect(estimated_CTF_21, skip_block_21, (equalizer, 4))
self.connect(estimated_CTF_22, skip_block_22, (equalizer, 5))
self.connect(frame_start, (equalizer, 6))
self.connect(frame_start, (equalizer, 7))
ofdm_blocks = equalizer
#terminate_stream(self, inv_CTF_11)
#terminate_stream(self, inv_CTF_21)
'''equalizer = ofdm.channel_equalizer_mimo_2( total_subc )
self.connect( ofdm_blocks, ( equalizer, 0 ) )
self.connect( estimated_CTF_11, skip_block_11, ( equalizer, 1 ) )
self.connect( estimated_CTF_12, skip_block_12, ( equalizer, 2 ) )
self.connect( frame_start, ( equalizer, 3 ) )
ofdm_blocks = equalizer
equalizer2 = ofdm.channel_equalizer_mimo_2( total_subc )
self.connect( ofdm_blocks2, ( equalizer2, 0 ) )
self.connect( estimated_CTF_21, skip_block_21, ( equalizer2, 1 ) )
self.connect( estimated_CTF_22, skip_block_22, ( equalizer2, 2 ) )
self.connect( frame_start2, ( equalizer2, 3 ) )
ofdm_blocks2 = equalizer2'''
#ofdm_blocks = equalizer
#ofdm_blocks2 = equalizer2
#log_to_file(self, equalizer,"data/equalizer.compl")
#log_to_file(self, ofdm_blocks2,"data/equalizer.compl")
#log_to_file(self, ofdm_blocks,"data/equalizer2.compl")
## LMS Phase tracking
## Track residual frequency offset and sampling clock frequency offset
'''
nondata_blocks = []
for i in range(config.frame_length):
if i in config.training_data.pilotsym_pos:
nondata_blocks.append(i)
pilot_subc = block_header.pilot_tones
phase_tracking = ofdm.LMS_phase_tracking2( total_subc, pilot_subc,
nondata_blocks )
self.connect( equalizer, ( phase_tracking, 0 ) )
self.connect( frame_start, ( phase_tracking, 1 ) )
phase_tracking2 = ofdm.LMS_phase_tracking2( total_subc, pilot_subc,
nondata_blocks )
self.connect( equalizer2, ( phase_tracking2, 0 ) )
self.connect( frame_start2, ( phase_tracking2, 1 ) )
# if options.scatter_plot_before_phase_tracking:
# self.before_phase_tracking = equalizer
if options.disable_phase_tracking or options.ideal:
terminate_stream(self, phase_tracking)
terminate_stream(self, phase_tracking2)
print "Disabled phase tracking stage"
else:
ofdm_blocks = phase_tracking
ofdm_blocks2 = phase_tracking2
log_to_file(self,phase_tracking, "data/phase_tracking.compl")
'''
'''combine = blocks.add_cc(config.subcarriers)
self.connect(ofdm_blocks, (combine,0))
self.connect(ofdm_blocks2, (combine,1))
norm_val = [0.5]*config.subcarriers
norm = ofdm.multiply_const_vcc( norm_val)
self.connect(combine,norm)
ofdm_blocks = norm'''
## div = gr.multiply_cc(config.subcarriers)
## const = blocks.vector_source_c([[0.5+0]*config.subcarriers],True)
## self.connect(ofdm_blocks,div)
## self.connect(const,(div,1))
## ofdm_blocks=div
# log_to_file(self,combine,"data/combine.compl")
## Output connections
self.connect(ofdm_blocks, out_ofdm_blocks)
self.connect(frame_start, out_frame_start)
self.connect(disp_CTF_RX0, out_disp_ctf)
self.connect(frame_start2, out_frame_start2)
self.connect(disp_CTF_RX1, out_disp_ctf2)
def __init__( self, options, log = False ):
## Read configuration
config = station_configuration()
fft_length = config.fft_length
cp_length = config.cp_length
block_header = config.training_data
data_subc = config.data_subcarriers
virtual_subc = config.virtual_subcarriers
total_subc = config.subcarriers
block_length = config.block_length
frame_length = config.frame_length
L = block_header.mm_periodic_parts
frame_data_blocks = options.data_blocks
## Set Input/Output signature
gr.hier_block2.__init__( self,
"ofdm_inner_receiver",
gr.io_signature(
1, 1,
gr.sizeof_gr_complex ),
gr.io_signature4(
4, 4,
gr.sizeof_gr_complex * total_subc, # OFDM blocks
gr.sizeof_char, # Frame start
gr.sizeof_float * total_subc, # Normalized |CTF|^2
gr.sizeof_float * total_subc ) ) # Normalized |CTF|^2
## Input and output ports
self.input = rx_input = (self,0)
out_ofdm_blocks = ( self, 0 )
out_frame_start = ( self, 1 )
out_disp_ctf = ( self, 2 )
out_disp_ctf2 = ( self, 3 )
## pre-FFT processing
## Compute autocorrelations for S&C preamble
## and cyclic prefix
sc_metric = autocorrelator( fft_length/2, fft_length/2 )
gi_metric = autocorrelator( fft_length, cp_length )
self.connect( rx_input, sc_metric )
self.connect( rx_input, gi_metric )
## Sync. Output contains OFDM blocks
sync = ofdm.time_sync( fft_length, cp_length )
self.connect( rx_input, ( sync, 0 ) )
self.connect( sc_metric, ( sync, 1 ) )
self.connect( gi_metric, ( sync, 2 ) )
ofdm_blocks = ( sync, 0 )
frame_start = ( sync, 1 )
if options.disable_time_sync or options.ideal:
terminate_stream(self, ofdm_blocks)
terminate_stream(self, frame_start)
serial_to_parallel = blocks.stream_to_vector(gr.sizeof_gr_complex,block_length)
discard_cp = ofdm.vector_mask(block_length,cp_length,fft_length,[])
ofdm_blocks = discard_cp
self.connect( rx_input, serial_to_parallel, discard_cp )
frame_start = [0]*frame_length
frame_start[0] = 1
frame_start = blocks.vector_source_b(frame_start,True)
print "Disabled time synchronization stage"
## Extract preamble, feed to Morelli & Mengali frequency offset estimator
assert( block_header.mm_preamble_pos == 0 )
morelli_foe = ofdm.mm_frequency_estimator( fft_length, L )
sampler_preamble = ofdm.vector_sampler( gr.sizeof_gr_complex * fft_length,
1 )
self.connect( ofdm_blocks, ( sampler_preamble, 0 ) )
self.connect( frame_start, ( sampler_preamble, 1 ) )
self.connect( sampler_preamble, morelli_foe )
freq_offset = morelli_foe
## Adaptive LMS FIR filtering of frequency offset
lms_fir = ofdm.lms_fir_ff( 20, 1e-3 ) # TODO: verify parameter choice
self.connect( freq_offset, lms_fir )
freq_offset = lms_fir
log_to_file(self, lms_fir, "data/foe_21.float")
# log_to_file(self, lms_fir, "data/lms_fir.float")
# log_to_file(self, lms_fir2, "data/lms_fir2.float")
if options.disable_freq_sync or options.ideal:
terminate_stream(self, freq_offset)
freq_offset = blocks.vector_source_f([0.0],True)
print "Disabled frequency synchronization stage"
## Correct frequency shift, feed-forward structure
frequency_shift = ofdm.frequency_shift_vcc( fft_length, -1.0/fft_length,
cp_length )
self.connect( ofdm_blocks, ( frequency_shift, 0 ) )
self.connect( freq_offset, ( frequency_shift, 1 ) )
self.connect( frame_start, ( frequency_shift, 2 ) )
ofdm_blocks = frequency_shift
## FFT
fft = fft_blocks.fft_vcc( fft_length, True, [], True )
self.connect( ofdm_blocks, fft )
ofdm_blocks = fft
## Remove virtual subcarriers
if fft_length > data_subc:
subcarrier_mask = ofdm.vector_mask( fft_length, virtual_subc/2,
total_subc, [] )
self.connect( ofdm_blocks, subcarrier_mask )
ofdm_blocks = subcarrier_mask
## Least Squares estimator for channel transfer function (CTF)
# if options.logcir:
# log_to_file( self, ofdm_blocks, "data/OFDM_Blocks.compl" )
# inv_preamble_fd = numpy.array( block_header.pilotsym_fd[
# block_header.channel_estimation_pilot[0] ] )
# print "Channel estimation pilot: ", inv_preamble_fd
# inv_preamble_fd = 1. / inv_preamble_fd
# LS_channel_estimator0 = ofdm.multiply_const_vcc( list( inv_preamble_fd ) )
# self.connect( ofdm_blocks, LS_channel_estimator0, blocks.null_sink(gr.sizeof_gr_complex*total_subc))
# log_to_file( self, LS_channel_estimator0, "data/OFDM_Blocks_eq.compl" )
## post-FFT processing
## extract channel estimation preamble from frame
if options.est_preamble==1:
chest_pre_trigger = blocks.delay( gr.sizeof_char,
1 )
sampled_chest_preamble = \
ofdm.vector_sampler( gr.sizeof_gr_complex * total_subc, 1 )
self.connect( frame_start, chest_pre_trigger )
self.connect( chest_pre_trigger, ( sampled_chest_preamble, 1 ) )
self.connect( ofdm_blocks, ( sampled_chest_preamble, 0 ) )
## Least Squares estimator for channel transfer function (CTF)
# Taking inverse for estimating h11 (h12)
inv_preamble_fd_1 = numpy.array( block_header.pilotsym_fd_1[
block_header.channel_estimation_pilot[0] ] )
print "inv_preamble_fd_1: ",inv_preamble_fd_1
inv_preamble_fd_1 = inv_preamble_fd_1[0::2]
#print "inv_preamble_fd_1 ", inv_preamble_fd_1
# Taking inverse for estimating h21 (h22)
inv_preamble_fd_2 = numpy.array( block_header.pilotsym_fd_2[
block_header.channel_estimation_pilot[0] ] )
print "inv_preamble_fd_2: ",inv_preamble_fd_2
inv_preamble_fd_2 = inv_preamble_fd_2[1::2]
#print "inv_preamble_fd_2 ", inv_preamble_fd_2
print "inv_preamble_fd_1: ",inv_preamble_fd_1
print "inv_preamble_fd_2: ",inv_preamble_fd_2
inv_preamble_fd_1 = 1. / inv_preamble_fd_1
inv_preamble_fd_2 = 1. / inv_preamble_fd_2
dd = []
for i in range (total_subc/2):
dd.extend([i*2])
skip_block_1 = ofdm.int_skip(total_subc,2,0)
skip_block_2 = ofdm.int_skip(total_subc,2,1)
# inta_estim_1 = ofdm.interpolator(total_subc,2,dd)
# inta_estim_2 = ofdm.interpolator(total_subc,2,dd)
LS_channel_estimator_1 = ofdm.multiply_const_vcc( list( inv_preamble_fd_1 ) )
LS_channel_estimator_2 = ofdm.multiply_const_vcc( list( inv_preamble_fd_2 ) )
self.connect( sampled_chest_preamble,skip_block_1, LS_channel_estimator_1)#,inta_estim_1 )
self.connect( sampled_chest_preamble,skip_block_2, LS_channel_estimator_2)#,inta_estim_2 )
estimated_CTF_1 = LS_channel_estimator_1 # h0
estimated_CTF_2 = LS_channel_estimator_2 # h1 # h3
if not options.disable_ctf_enhancer:
# if options.logcir:
# ifft1 = fft_blocks.fft_vcc(total_subc,False,[],True)
# self.connect( estimated_CTF, ifft1,blocks.null_sink(gr.sizeof_gr_complex*total_subc))
# summ1 = ofdm.vector_sum_vcc(total_subc)
# c2m =gr.complex_to_mag(total_subc)
# self.connect( estimated_CTF,summ1 ,blocks.null_sink(gr.sizeof_gr_complex))
# self.connect( estimated_CTF, c2m,blocks.null_sink(gr.sizeof_float*total_subc))
# log_to_file( self, ifft1, "data/CIR1.compl" )
# log_to_file( self, summ1, "data/CTFsumm1.compl" )
# log_to_file( self, estimated_CTF, "data/CTF1.compl" )
# log_to_file( self, c2m, "data/CTFmag1.float" )
## MSE enhancer
ctf_mse_enhancer_1 = ofdm.CTF_MSE_enhancer( total_subc, cp_length + cp_length)
ctf_mse_enhancer_2 = ofdm.CTF_MSE_enhancer( total_subc, cp_length + cp_length)
self.connect( estimated_CTF_1, ctf_mse_enhancer_1 )
self.connect( estimated_CTF_2, ctf_mse_enhancer_2 )
estimated_CTF_1 = ctf_mse_enhancer_1
estimated_CTF_2 = ctf_mse_enhancer_2
print "Disabled CTF MSE enhancer"
ctf_postprocess_1 = ofdm.postprocess_CTF_estimate( total_subc/2 )
self.connect( estimated_CTF_1, ( ctf_postprocess_1, 0 ) )
ctf_postprocess_2 = ofdm.postprocess_CTF_estimate( total_subc/2 )
self.connect( estimated_CTF_2, ( ctf_postprocess_2, 0 ) )
inv_CTF_1 = ( ctf_postprocess_1, 0 )
disp_CTF_1 = ( ctf_postprocess_1, 1 )
inv_CTF_2 = ( ctf_postprocess_2, 0 )
disp_CTF_2 = ( ctf_postprocess_2, 1 )
disp_CTF_RX0 = blocks.add_ff(total_subc/2)
self.connect ( disp_CTF_1, (disp_CTF_RX0, 0) )
self.connect ( disp_CTF_2, (disp_CTF_RX0, 1) )
terminate_stream(self,disp_CTF_RX0)
terminate_stream(self,inv_CTF_2)
disp_CTF_RX0 = blocks.null_source(gr.sizeof_float*total_subc)
disp_CTF_RX1 = blocks.null_source(gr.sizeof_float*total_subc)
## Channel Equalizer
#log_to_file(self, ofdm_blocks, "data/vec_mask.compl")
#log_to_file(self, ofdm_blocks2, "data/vec_mask2.compl")
nondata_blocks = []
for i in range(config.frame_length):
if i in config.training_data.pilotsym_pos:
nondata_blocks.append(i)
pilot_subc = block_header.pilot_tones
pilot_subcarriers = block_header.pilot_subc_sym
print "PILOT SUBCARRIERS: ", pilot_subcarriers
phase_tracking = ofdm.lms_phase_tracking_03( total_subc, pilot_subc,
nondata_blocks,pilot_subcarriers,0 )
##phase_tracking = ofdm.lms_phase_tracking_02( total_subc, pilot_subc,
## nondata_blocks )
##phase_tracking2 = ofdm.lms_phase_tracking_02( total_subc, pilot_subc,
## nondata_blocks )
# self.connect( ofdm_blocks, ( phase_tracking, 0 ) )
# self.connect( ofdm_blocks2, ( phase_tracking, 1 ))
# self.connect( inv_CTF_1, ( phase_tracking, 2 ) )
# self.connect( inv_CTF_3, ( phase_tracking, 3 ) )
# self.connect( frame_start, ( phase_tracking, 4 ) )
# self.connect( frame_start2, ( phase_tracking, 5) )
#
# self.connect( ofdm_blocks2, ( phase_tracking2, 0 ) )
# self.connect( ofdm_blocks, ( phase_tracking2, 1 ))
# self.connect( inv_CTF_3, ( phase_tracking2, 2 ) )
# self.connect( inv_CTF_1, ( phase_tracking2, 3 ) )
# self.connect( frame_start2, ( phase_tracking2, 4 ) )
# self.connect( frame_start, ( phase_tracking2, 5 ) )
self.connect( ofdm_blocks, ( phase_tracking, 0 ) )
self.connect( inv_CTF_1, ( phase_tracking, 1 ) )
self.connect( frame_start, ( phase_tracking, 2 ) )
#self.connect(phase_tracking,blocks.null_sink(gr.sizeof_gr_complex*total_subc))
ofdm_blocks = phase_tracking
'''equalizer = ofdm.channel_equalizer_mimo_2( total_subc )
self.connect( ofdm_blocks, ( equalizer, 0 ) )
self.connect( ofdm_blocks2, ( equalizer, 1 ) )
self.connect( inv_CTF_1, ( equalizer, 2 ) )
self.connect( inv_CTF_2, ( equalizer, 3 ) )
self.connect( inv_CTF_3, ( equalizer, 4 ) )
self.connect( inv_CTF_4, ( equalizer, 5 ) )
self.connect( frame_start, ( equalizer, 6 ) )
self.connect( frame_start2, ( equalizer, 7 ) )
ofdm_blocks = equalizer'''
equalizer = ofdm.channel_equalizer_mimo_2( total_subc )
self.connect( ofdm_blocks, ( equalizer, 0 ) )
self.connect( estimated_CTF_1, ( equalizer, 1 ) )
self.connect( estimated_CTF_2, ( equalizer, 2 ) )
self.connect( frame_start, ( equalizer, 3 ) )
#ofdm_blocks = equalizer
#ofdm_blocks2 = equalizer2
ofdm_blocks = equalizer
#log_to_file(self, equalizer,"data/equalizer.compl")
log_to_file(self, ofdm_blocks,"data/equalizer.compl")
log_to_file(self, estimated_CTF_1,"data/estimated_CTF_1.compl")
log_to_file(self, estimated_CTF_2,"data/estimated_CTF_2.compl")
## LMS Phase tracking
## Track residual frequency offset and sampling clock frequency offset
'''
nondata_blocks = []
for i in range(config.frame_length):
if i in config.training_data.pilotsym_pos:
nondata_blocks.append(i)
pilot_subc = block_header.pilot_tones
phase_tracking = ofdm.lms_phase_tracking_02( total_subc, pilot_subc,
nondata_blocks )
self.connect( equalizer, ( phase_tracking, 0 ) )
self.connect( frame_start, ( phase_tracking, 1 ) )
phase_tracking2 = ofdm.lms_phase_tracking_02( total_subc, pilot_subc,
nondata_blocks )
self.connect( equalizer2, ( phase_tracking2, 0 ) )
self.connect( frame_start2, ( phase_tracking2, 1 ) )
# if options.scatter_plot_before_phase_tracking:
# self.before_phase_tracking = equalizer
if options.disable_phase_tracking or options.ideal:
terminate_stream(self, phase_tracking)
terminate_stream(self, phase_tracking2)
print "Disabled phase tracking stage"
else:
ofdm_blocks = phase_tracking
ofdm_blocks2 = phase_tracking2
log_to_file(self,phase_tracking, "data/phase_tracking.compl")
'''
'''combine = blocks.add_cc(config.subcarriers)
self.connect(ofdm_blocks, (combine,0))
self.connect(ofdm_blocks2, (combine,1))
ofdm_blocks = combine'''
## div = gr.multiply_cc(config.subcarriers)
## const = blocks.vector_source_c([[0.5+0]*config.subcarriers],True)
## self.connect(ofdm_blocks,div)
## self.connect(const,(div,1))
## ofdm_blocks=div
# log_to_file(self,combine,"data/combine.compl")
## Output connections
self.connect( ofdm_blocks, out_ofdm_blocks )
self.connect( frame_start, out_frame_start )
self.connect( disp_CTF_RX0, out_disp_ctf )
self.connect( disp_CTF_RX1, out_disp_ctf2 )
else: # (2 preambles for channel estimation)
chest_pre_trigger_1 = blocks.delay( gr.sizeof_char,
1 )
chest_pre_trigger_2 = blocks.delay( gr.sizeof_char,
2 )
sampled_chest_preamble_1 = \
ofdm.vector_sampler( gr.sizeof_gr_complex * total_subc, 1 )
sampled_chest_preamble_2 = \
ofdm.vector_sampler( gr.sizeof_gr_complex * total_subc, 1 )
self.connect( frame_start, chest_pre_trigger_1 )
self.connect( chest_pre_trigger_1, ( sampled_chest_preamble_1, 1 ) )
self.connect( ofdm_blocks, ( sampled_chest_preamble_1, 0 ) )
self.connect( frame_start, chest_pre_trigger_2 )
self.connect( chest_pre_trigger_2, ( sampled_chest_preamble_2, 1 ) )
self.connect( ofdm_blocks, ( sampled_chest_preamble_2, 0 ) )
## Least Squares estimator for channel transfer function (CTF)
# Taking inverse for estimating h11 (h12)
inv_preamble_fd_1 = numpy.array( block_header.pilotsym_fd_1[
block_header.channel_estimation_pilot[0] ] )
print "inv_preamble_fd_1: ",inv_preamble_fd_1
#inv_preamble_fd_1 = inv_preamble_fd_1[0::2]
#print "inv_preamble_fd_1 ", inv_preamble_fd_1
# Taking inverse for estimating h21 (h22)
inv_preamble_fd_2 = numpy.array( block_header.pilotsym_fd_2[
block_header.channel_estimation_pilot[0]+1 ] )
print "inv_preamble_fd_2: ",inv_preamble_fd_2
#inv_preamble_fd_2 = inv_preamble_fd_2[1::2]
#print "inv_preamble_fd_2 ", inv_preamble_fd_2
print "inv_preamble_fd_1: ",inv_preamble_fd_1
print "inv_preamble_fd_2: ",inv_preamble_fd_2
inv_preamble_fd_1 = 1. / inv_preamble_fd_1
inv_preamble_fd_2 = 1. / inv_preamble_fd_2
#dd = []
#for i in range (total_subc/2):
# dd.extend([i*2])
skip_block_1 = ofdm.int_skip(total_subc,2,0)
skip_block_11 = ofdm.int_skip(total_subc,2,0)
skip_block_2 = ofdm.int_skip(total_subc,2,1)
# inta_estim_1 = ofdm.interpolator(total_subc,2,dd)
# inta_estim_2 = ofdm.interpolator(total_subc,2,dd)
LS_channel_estimator_1 = ofdm.multiply_const_vcc( list( inv_preamble_fd_1 ) )
LS_channel_estimator_2 = ofdm.multiply_const_vcc( list( inv_preamble_fd_2 ) )
self.connect( sampled_chest_preamble_1, LS_channel_estimator_1)#,inta_estim_1 )
self.connect( sampled_chest_preamble_2, LS_channel_estimator_2)#,inta_estim_2 )
estimated_CTF_1 = LS_channel_estimator_1 # h0
estimated_CTF_2 = LS_channel_estimator_2 # h1 # h3
if not options.disable_ctf_enhancer:
# if options.logcir:
# ifft1 = fft_blocks.fft_vcc(total_subc,False,[],True)
# self.connect( estimated_CTF, ifft1,blocks.null_sink(gr.sizeof_gr_complex*total_subc))
# summ1 = ofdm.vector_sum_vcc(total_subc)
# c2m =gr.complex_to_mag(total_subc)
# self.connect( estimated_CTF,summ1 ,blocks.null_sink(gr.sizeof_gr_complex))
# self.connect( estimated_CTF, c2m,blocks.null_sink(gr.sizeof_float*total_subc))
# log_to_file( self, ifft1, "data/CIR1.compl" )
# log_to_file( self, summ1, "data/CTFsumm1.compl" )
# log_to_file( self, estimated_CTF, "data/CTF1.compl" )
# log_to_file( self, c2m, "data/CTFmag1.float" )
## MSE enhancer
ctf_mse_enhancer_1 = ofdm.CTF_MSE_enhancer( total_subc, cp_length + cp_length)
ctf_mse_enhancer_2 = ofdm.CTF_MSE_enhancer( total_subc, cp_length + cp_length)
self.connect( estimated_CTF_1, ctf_mse_enhancer_1 )
self.connect( estimated_CTF_2, ctf_mse_enhancer_2 )
estimated_CTF_1 = ctf_mse_enhancer_1
estimated_CTF_2 = ctf_mse_enhancer_2
print "Disabled CTF MSE enhancer"
ctf_postprocess_1 = ofdm.postprocess_CTF_estimate( total_subc )
self.connect( estimated_CTF_1, ( ctf_postprocess_1, 0 ) )
ctf_postprocess_2 = ofdm.postprocess_CTF_estimate( total_subc )
self.connect( estimated_CTF_2, ( ctf_postprocess_2, 0 ) )
inv_CTF_1 = ( ctf_postprocess_1, 0 )
disp_CTF_1 = ( ctf_postprocess_1, 1 )
inv_CTF_2 = ( ctf_postprocess_2, 0 )
disp_CTF_2 = ( ctf_postprocess_2, 1 )
#disp_CTF_RX0 = blocks.add_ff(total_subc)
#self.connect ( disp_CTF_1, (disp_CTF_RX0, 0) )
#self.connect ( disp_CTF_2, (disp_CTF_RX0, 1) )
#terminate_stream(self,disp_CTF_RX0)
terminate_stream(self,inv_CTF_2)
disp_CTF_RX0 = disp_CTF_1
disp_CTF_RX1 = disp_CTF_2
## Channel Equalizer
#log_to_file(self, ofdm_blocks, "data/vec_mask.compl")
#log_to_file(self, ofdm_blocks2, "data/vec_mask2.compl")
nondata_blocks = []
for i in range(config.frame_length):
if i in config.training_data.pilotsym_pos:
nondata_blocks.append(i)
pilot_subc = block_header.pilot_tones
pilot_subcarriers = block_header.pilot_subc_sym
print "PILOT SUBCARRIERS: ", pilot_subcarriers
phase_tracking = ofdm.lms_phase_tracking_03( total_subc, pilot_subc,
nondata_blocks,pilot_subcarriers,0 )
##phase_tracking = ofdm.lms_phase_tracking_02( total_subc, pilot_subc,
## nondata_blocks )
##phase_tracking2 = ofdm.lms_phase_tracking_02( total_subc, pilot_subc,
## nondata_blocks )
# self.connect( ofdm_blocks, ( phase_tracking, 0 ) )
# self.connect( ofdm_blocks2, ( phase_tracking, 1 ))
# self.connect( inv_CTF_1, ( phase_tracking, 2 ) )
# self.connect( inv_CTF_3, ( phase_tracking, 3 ) )
# self.connect( frame_start, ( phase_tracking, 4 ) )
# self.connect( frame_start2, ( phase_tracking, 5) )
#
# self.connect( ofdm_blocks2, ( phase_tracking2, 0 ) )
# self.connect( ofdm_blocks, ( phase_tracking2, 1 ))
# self.connect( inv_CTF_3, ( phase_tracking2, 2 ) )
# self.connect( inv_CTF_1, ( phase_tracking2, 3 ) )
# self.connect( frame_start2, ( phase_tracking2, 4 ) )
# self.connect( frame_start, ( phase_tracking2, 5 ) )
self.connect( ofdm_blocks, ( phase_tracking, 0 ) )
self.connect( inv_CTF_1, skip_block_11, ( phase_tracking, 1 ) )
self.connect( frame_start, ( phase_tracking, 2 ) )
#self.connect(phase_tracking,blocks.null_sink(gr.sizeof_gr_complex*total_subc))
if options.disable_phase_tracking or options.ideal:
terminate_stream(self, phase_tracking)
print "Disabled phase tracking stage"
else:
ofdm_blocks = phase_tracking
'''equalizer = ofdm.channel_equalizer_mimo_2( total_subc )
self.connect( ofdm_blocks, ( equalizer, 0 ) )
self.connect( ofdm_blocks2, ( equalizer, 1 ) )
self.connect( inv_CTF_1, ( equalizer, 2 ) )
self.connect( inv_CTF_2, ( equalizer, 3 ) )
self.connect( inv_CTF_3, ( equalizer, 4 ) )
self.connect( inv_CTF_4, ( equalizer, 5 ) )
self.connect( frame_start, ( equalizer, 6 ) )
self.connect( frame_start2, ( equalizer, 7 ) )
ofdm_blocks = equalizer'''
equalizer = ofdm.channel_equalizer_mimo_2( total_subc )
self.connect( ofdm_blocks, ( equalizer, 0 ) )
self.connect( estimated_CTF_1, skip_block_1, ( equalizer, 1 ) )
self.connect( estimated_CTF_2, skip_block_2, ( equalizer, 2 ) )
self.connect( frame_start, ( equalizer, 3 ) )
#ofdm_blocks = equalizer
#ofdm_blocks2 = equalizer2
ofdm_blocks = equalizer
#log_to_file(self, equalizer,"data/equalizer.compl")
log_to_file(self, ofdm_blocks,"data/equalizer.compl")
log_to_file(self, estimated_CTF_1,"data/estimated_CTF_1.compl")
log_to_file(self, estimated_CTF_2,"data/estimated_CTF_2.compl")
## LMS Phase tracking
## Track residual frequency offset and sampling clock frequency offset
'''
nondata_blocks = []
for i in range(config.frame_length):
if i in config.training_data.pilotsym_pos:
nondata_blocks.append(i)
pilot_subc = block_header.pilot_tones
phase_tracking = ofdm.lms_phase_tracking_02( total_subc, pilot_subc,
nondata_blocks )
self.connect( equalizer, ( phase_tracking, 0 ) )
self.connect( frame_start, ( phase_tracking, 1 ) )
phase_tracking2 = ofdm.lms_phase_tracking_02( total_subc, pilot_subc,
nondata_blocks )
self.connect( equalizer2, ( phase_tracking2, 0 ) )
self.connect( frame_start2, ( phase_tracking2, 1 ) )
# if options.scatter_plot_before_phase_tracking:
# self.before_phase_tracking = equalizer
if options.disable_phase_tracking or options.ideal:
terminate_stream(self, phase_tracking)
terminate_stream(self, phase_tracking2)
print "Disabled phase tracking stage"
else:
ofdm_blocks = phase_tracking
ofdm_blocks2 = phase_tracking2
log_to_file(self,phase_tracking, "data/phase_tracking.compl")
'''
'''combine = blocks.add_cc(config.subcarriers)
self.connect(ofdm_blocks, (combine,0))
self.connect(ofdm_blocks2, (combine,1))
ofdm_blocks = combine'''
## div = gr.multiply_cc(config.subcarriers)
## const = blocks.vector_source_c([[0.5+0]*config.subcarriers],True)
## self.connect(ofdm_blocks,div)
## self.connect(const,(div,1))
## ofdm_blocks=div
# log_to_file(self,combine,"data/combine.compl")
## Output connections
self.connect( ofdm_blocks, out_ofdm_blocks )
self.connect( frame_start, out_frame_start )
self.connect( disp_CTF_RX0, out_disp_ctf )
self.connect( disp_CTF_RX1, out_disp_ctf2 )
def __init__(self,
M=1024,
K=4,
qam_size=16,
syms_per_frame=10,
carriers=924,
theta_sel=0,
sel_eq=0,
exclude_preamble=0,
sel_preamble=0,
zero_pads=1,
extra_pad=False):
gr.hier_block2.__init__(
self,
"fbmc_receiver_demo",
gr.io_signature(1, 1, gr.sizeof_gr_complex * 1),
gr.io_signature(1, 1, gr.sizeof_gr_complex * M),
)
##################################################
# Parameters
##################################################
self.theta_sel = theta_sel
self.exclude_preamble = exclude_preamble
self.sel_eq = sel_eq
self.M = M
self.K = K
self.qam_size = qam_size
self.syms_per_frame = syms_per_frame
##################################################
# Variables
##################################################
if self.exclude_preamble == 1 and self.sel_eq != 3:
self.sel_eq = sel_eq = 3
warnings.warn(
"Since exclude_preamble is set as 1, sel_eq is forced to be 3 (no equalizer)"
)
self.skip = skip = 0
if exclude_preamble == 1 or sel_eq == 3 or sel_eq == 0:
self.skip = skip = 0
else:
self.skip = skip = 1
# Assertions
assert (M > 0 and K > 0
and qam_size > 0), "M, K and qam_size should be bigger than 0"
assert ((math.log(M) / math.log(2)) == int(
math.log(M) / math.log(2))), "M should be a power of 2"
assert (K == 4), "for now only K=4 s supported."
assert (qam_size == 4 or qam_size == 16 or qam_size == 64
or qam_size == 128 or qam_size == 256
), "Only 4-,16-,64-,128-,256-qam constellations are supported."
assert (theta_sel == 0 or theta_sel == 1)
assert (exclude_preamble == 0 or exclude_preamble == 1)
##################################################
# Blocks
##################################################
self.ofdm_vector_mask_0 = ofdm.vector_mask(M, (M - carriers) / 2,
carriers, [])
# self.ofdm_fbmc_symbol_estimation_vcb_0 = ofdm.fbmc_symbol_estimation_vcb(carriers, qam_size)
# unsigned int M, unsigned int syms_per_frame, int sel_preamble, int zero_pads, bool extra_pad, int sel_eq
self.ofdm_fbmc_subchannel_processing_vcvc_0 = ofdm.fbmc_subchannel_processing_vcvc(
M, syms_per_frame, sel_preamble, zero_pads, extra_pad, sel_eq)
self.ofdm_fbmc_separate_vcvc_0 = ofdm.fbmc_separate_vcvc(M, 2)
self.ofdm_fbmc_remove_preamble_vcvc_0 = ofdm.fbmc_remove_preamble_vcvc(
M, syms_per_frame, sel_preamble, zero_pads, extra_pad)
self.ofdm_fbmc_polyphase_network_vcvc_3 = ofdm.fbmc_polyphase_network_vcvc(
M, K, K * M - 1, True)
self.ofdm_fbmc_polyphase_network_vcvc_2 = ofdm.fbmc_polyphase_network_vcvc(
M, K, K * M - 1, True)
self.ofdm_fbmc_overlapping_serial_to_parallel_cvc_0 = ofdm.fbmc_overlapping_serial_to_parallel_cvc(
M)
self.ofdm_fbmc_oqam_postprocessing_vcvc_0 = ofdm.fbmc_oqam_postprocessing_vcvc(
M, 0, theta_sel)
self.ofdm_fbmc_junction_vcvc_0 = ofdm.fbmc_junction_vcvc(M, 2)
self.ofdm_fbmc_beta_multiplier_vcvc_1 = ofdm.fbmc_beta_multiplier_vcvc(
M, K, K * M - 1, 0)
self.fft_vxx_1 = fft.fft_vcc(M, True, ([]), True, 1)
self.blocks_skiphead_0_0 = blocks.skiphead(gr.sizeof_gr_complex * M,
skip)
self.blocks_skiphead_0 = blocks.skiphead(gr.sizeof_gr_complex * M,
2 * K - 1 - 1)
self.blocks_null_sink_0 = blocks.null_sink(gr.sizeof_gr_complex * M)
self.blks2_selector_0_0 = grc_blks2.selector(
item_size=gr.sizeof_gr_complex * M,
num_inputs=2,
num_outputs=1,
input_index=exclude_preamble,
output_index=0,
)
##################################################
# Connections
##################################################
self.connect((self.blks2_selector_0_0, 0),
(self.ofdm_fbmc_oqam_postprocessing_vcvc_0, 0))
self.connect((self.ofdm_fbmc_remove_preamble_vcvc_0, 0),
(self.blks2_selector_0_0, 0))
self.connect((self.blocks_skiphead_0_0, 0),
(self.blks2_selector_0_0, 1))
self.connect((self.blocks_skiphead_0_0, 0),
(self.ofdm_fbmc_remove_preamble_vcvc_0, 0))
self.connect((self.ofdm_fbmc_beta_multiplier_vcvc_1, 0),
(self.blocks_skiphead_0, 0))
self.connect((self.fft_vxx_1, 0),
(self.ofdm_fbmc_beta_multiplier_vcvc_1, 0))
self.connect((self.blocks_skiphead_0, 0),
(self.ofdm_fbmc_subchannel_processing_vcvc_0, 0))
self.connect((self.ofdm_fbmc_junction_vcvc_0, 0), (self.fft_vxx_1, 0))
# self.connect((self.ofdm_fbmc_symbol_estimation_vcb_0, 0), )
self.connect((self.ofdm_fbmc_subchannel_processing_vcvc_0, 1),
(self.blocks_null_sink_0, 0))
self.connect((self.ofdm_vector_mask_0, 0), (self, 0))
self.connect((self.ofdm_fbmc_oqam_postprocessing_vcvc_0, 0),
(self.ofdm_vector_mask_0, 0))
self.connect((self.ofdm_fbmc_subchannel_processing_vcvc_0, 0),
(self.blocks_skiphead_0_0, 0))
self.connect((self, 0),
(self.ofdm_fbmc_overlapping_serial_to_parallel_cvc_0, 0))
self.connect((self.ofdm_fbmc_separate_vcvc_0, 0),
(self.ofdm_fbmc_polyphase_network_vcvc_2, 0))
self.connect((self.ofdm_fbmc_separate_vcvc_0, 1),
(self.ofdm_fbmc_polyphase_network_vcvc_3, 0))
self.connect((self.ofdm_fbmc_overlapping_serial_to_parallel_cvc_0, 0),
(self.ofdm_fbmc_separate_vcvc_0, 0))
self.connect((self.ofdm_fbmc_polyphase_network_vcvc_2, 0),
(self.ofdm_fbmc_junction_vcvc_0, 0))
self.connect((self.ofdm_fbmc_polyphase_network_vcvc_3, 0),
(self.ofdm_fbmc_junction_vcvc_0, 1))
def __init__(self, fft_length, block_length, frame_data_part, block_header,
options):
gr.hier_block2.__init__(
self, "ofdm_receiver", gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature2(2, 2, gr.sizeof_gr_complex * fft_length,
gr.sizeof_char))
frame_length = frame_data_part + block_header.no_pilotsyms
cp_length = block_length - fft_length
self.input = gr.kludge_copy(gr.sizeof_gr_complex)
self.connect(self, self.input)
self.blocks_out = (self, 0)
self.frame_trigger_out = (self, 1)
self.snr_out = (self, 2)
if options.log:
log_to_file(self, self.input, "data/receiver_input.compl")
# peak detector: thresholds low, high
#self._pd_thres_lo = 0.09
#self._pd_thres_hi = 0.1
self._pd_thres = 0.2
self._pd_lookahead = fft_length / 2 # empirically chosen
#########################
# coarse timing offset estimator
# self.tm = schmidl.modified_timing_metric(fft_length,[1]*(fft_length))
self.tm = schmidl.recursive_timing_metric(fft_length)
self.connect(self.input, self.tm)
assert (hasattr(block_header, 'sc_preamble_pos'))
assert (block_header.sc_preamble_pos == 0
) # TODO: relax this restriction
if options.filter_timingmetric:
timingmetric_shift = -2 #int(-cp_length * 0.8)
tmfilter = gr.fir_filter_fff(1, [1. / cp_length] * cp_length)
self.connect(self.tm, tmfilter)
self.timing_metric = tmfilter
print "Filtering timing metric, experimental"
else:
self.timing_metric = self.tm
timingmetric_shift = int(-cp_length / 4)
if options.log:
log_to_file(self, self.timing_metric, "data/tm.float")
# peak detection
#threshold = gr.threshold_ff(self._pd_thres_lo,self._pd_thres_hi,0)
#muted_tm = gr.multiply_ff()
peak_detector = peak_detector_02_fb(self._pd_lookahead, self._pd_thres)
#self.connect(self.timing_metric, threshold, (muted_tm,0))
#self.connect(self.timing_metric, (muted_tm,1))
#self.connect(muted_tm, peak_detector)
self.connect(self.timing_metric, peak_detector)
if options.log:
pd_float = gr.char_to_float()
self.connect(peak_detector, pd_float)
log_to_file(self, pd_float, "data/peakdetector.float")
if options.no_timesync:
terminate_stream(self, peak_detector)
trigger = [0] * (frame_length * block_length)
trigger[block_length - 1] = 1
peak_detector = blocks.vector_source_b(trigger, True)
print "Bypassing timing synchronisation"
# TODO: refine detected peaks with 90% average method as proposed
# from Schmidl & Cox:
# Starting from peak, find first points to the left and right whose
# value is less than or equal 90% of the peak value. New trigger point
# is average of both
# Frequency Offset Estimation
# Used: Algorithm as proposed from Morelli & Mengali
# Idea: Use periodic preamble, correlate identical parts, determine
# phase offset. This phase offset is a function of the frequency offset.
assert (hasattr(block_header, 'mm_preamble_pos'))
foe = morelli_foe(fft_length, block_header.mm_periodic_parts)
self.connect(self.input, (foe, 0))
if block_header.mm_preamble_pos > 0:
delayed_trigger = gr.delay(
gr.sizeof_char, block_header.mm_preamble_pos * block_length)
self.connect(peak_detector, delayed_trigger, (foe, 1))
else:
self.connect(peak_detector, (foe, 1))
self.freq_offset = foe
if options.log:
log_to_file(self, self.freq_offset, "data/freqoff_out.float")
if options.average_freqoff:
#avg_foe = gr.single_pole_iir_filter_ff( 0.1 )
avg_foe = ofdm.lms_fir_ff(20, 1e-3)
self.connect(self.freq_offset, avg_foe)
self.freq_offset = avg_foe
#log_to_file( self, avg_foe, "data/freqoff_out_avg.float" )
print "EXPERIMENTAL!!! Filtering frequency offset estimate"
if options.no_freqsync:
terminate_stream(self, self.freq_offset)
self.freq_offset = blocks.vector_source_f([0.0], True)
print "Bypassing frequency offset estimator, offset=0.0"
# TODO: dynamic solution
frametrig_seq = concatenate([[1], [0] * (frame_length - 1)])
self.time_sync = peak_detector
self.frame_trigger = blocks.vector_source_b(frametrig_seq, True)
self.connect(self.frame_trigger, self.frame_trigger_out)
##########################
# symbol extraction and processing
# First, we extract the whole ofdm block, then we divide this block into
# several ofdm symbols. This asserts that all symbols belonging to the
# same ofdm block will be a consecutive order.
# extract ofdm symbols
# compensate frequency offset
# TODO: use PLL and update/reset signals
delayed_timesync = gr.delay(gr.sizeof_char,
(frame_length - 1) * block_length +
timingmetric_shift)
self.connect(self.time_sync, delayed_timesync)
self.block_sampler = vector_sampler(gr.sizeof_gr_complex,
block_length * frame_length)
self.discard_cp = vector_mask(block_length, cp_length, fft_length, [])
if options.use_dpll:
dpll = gr.dpll_bb(frame_length * block_length, .01)
self.connect(delayed_timesync, dpll)
if options.log:
dpll_f = gr.char_to_float()
delayed_timesync_f = gr.char_to_float()
self.connect(dpll, dpll_f)
self.connect(delayed_timesync, delayed_timesync_f)
log_to_file(self, dpll_f, "data/dpll.float")
log_to_file(self, delayed_timesync_f, "data/dpll_in.float")
delayed_timesync = dpll
print "Using DPLL, EXPERIMENTAL!!!!!"
self.connect(self.input, self.block_sampler)
self.connect(delayed_timesync, (self.block_sampler, 1))
if options.log:
log_to_file(self, self.block_sampler,
"data/block_sampler_out.compl")
# TODO: dynamic solution
self.ofdm_symbols = blocks.vector_to_stream(
gr.sizeof_gr_complex * block_length, frame_length)
self.connect(self.block_sampler, self.ofdm_symbols, self.discard_cp)
if options.log:
log_to_file(self, self.discard_cp, "data/discard_cp_out.compl")
dcp_fft = gr.fft_vcc(fft_length, True, [], True)
self.connect(self.discard_cp, dcp_fft)
log_to_file(self, dcp_fft, "data/discard_cp_fft.compl")
# reset phase accumulator inside freq_shift on every block start
# setup output connection
freq_shift = frequency_shift_vcc(fft_length, -1.0 / fft_length,
cp_length)
self.connect(self.discard_cp, (freq_shift, 0))
self.connect(self.freq_offset, (freq_shift, 1))
self.connect(self.frame_trigger, (freq_shift, 2))
self.connect(freq_shift, self.blocks_out)
if options.log:
log_to_file(self, freq_shift, "data/freqshift_out.compl")
if options.no_freqshift:
terminate_stream(self, freq_shift)
freq_shift = self.discard_cp
print "Bypassing frequency shift block"
def __init__(self, M=1024, K=4, qam_size=16, syms_per_frame=10, carriers=924, theta_sel=0, sel_eq=0, exclude_preamble=0, sel_preamble=0, zero_pads=1, extra_pad=False):
gr.hier_block2.__init__(self,
"fbmc_receiver_hier_cb",
gr.io_signature(1, 1, gr.sizeof_gr_complex*1),
gr.io_signature(1, 1, gr.sizeof_char*1),
)
##################################################
# Parameters
##################################################
self.theta_sel = theta_sel
self.exclude_preamble = exclude_preamble
self.sel_eq = sel_eq
self.M = M
self.K = K
self.qam_size = qam_size
self.syms_per_frame = syms_per_frame
##################################################
# Variables
##################################################
if self.exclude_preamble == 1 and self.sel_eq != 3:
self.sel_eq = sel_eq = 3
warnings.warn("Since exclude_preamble is set as 1, sel_eq is forced to be 3 (no equalizer)")
self.skip = skip = 0
if exclude_preamble == 1 or sel_eq == 3 or sel_eq== 0:
self.skip = skip = 0
else:
self.skip = skip = 1
# Assertions
assert(M>0 and K>0 and qam_size>0), "M, K and qam_size should be bigger than 0"
assert((math.log(M)/math.log(2))==int(math.log(M)/math.log(2))), "M should be a power of 2"
assert(K==4), "for now only K=4 s supported."
assert(qam_size==4 or qam_size==16 or qam_size==64 or qam_size==128 or qam_size==256 ), "Only 4-,16-,64-,128-,256-qam constellations are supported."
assert(theta_sel==0 or theta_sel==1)
assert(exclude_preamble==0 or exclude_preamble==1)
##################################################
# Blocks
##################################################
self.ofdm_vector_mask_0 = ofdm.vector_mask(M, (M-carriers)/2, carriers, [])
self.ofdm_fbmc_symbol_estimation_vcb_0 = ofdm.fbmc_symbol_estimation_vcb(carriers, qam_size)
# unsigned int M, unsigned int syms_per_frame, int sel_preamble, int zero_pads, bool extra_pad, int sel_eq
self.ofdm_fbmc_subchannel_processing_vcvc_0 = ofdm.fbmc_subchannel_processing_vcvc(M, syms_per_frame, sel_preamble, zero_pads, extra_pad, sel_eq)
self.ofdm_fbmc_separate_vcvc_0 = ofdm.fbmc_separate_vcvc(M, 2)
self.ofdm_fbmc_remove_preamble_vcvc_0 = ofdm.fbmc_remove_preamble_vcvc(M, syms_per_frame, sel_preamble, zero_pads, extra_pad)
self.ofdm_fbmc_polyphase_network_vcvc_3 = ofdm.fbmc_polyphase_network_vcvc(M, K, K*M-1, True)
self.ofdm_fbmc_polyphase_network_vcvc_2 = ofdm.fbmc_polyphase_network_vcvc(M, K, K*M-1, True)
self.ofdm_fbmc_overlapping_serial_to_parallel_cvc_0 = ofdm.fbmc_overlapping_serial_to_parallel_cvc(M)
self.ofdm_fbmc_oqam_postprocessing_vcvc_0 = ofdm.fbmc_oqam_postprocessing_vcvc(M, 0, theta_sel)
self.ofdm_fbmc_junction_vcvc_0 = ofdm.fbmc_junction_vcvc(M, 2)
self.ofdm_fbmc_beta_multiplier_vcvc_1 = ofdm.fbmc_beta_multiplier_vcvc(M, K, K*M-1, 0)
self.fft_vxx_1 = fft.fft_vcc(M, True, ([]), True, 1)
self.blocks_skiphead_0_0 = blocks.skiphead(gr.sizeof_gr_complex*M, skip)
self.blocks_skiphead_0 = blocks.skiphead(gr.sizeof_gr_complex*M, 2*K-1-1)
self.blocks_null_sink_0 = blocks.null_sink(gr.sizeof_gr_complex*M)
self.blks2_selector_0_0 = grc_blks2.selector(
item_size=gr.sizeof_gr_complex*M,
num_inputs=2,
num_outputs=1,
input_index=exclude_preamble,
output_index=0,
)
##################################################
# Connections
##################################################
self.connect((self.blks2_selector_0_0, 0), (self.ofdm_fbmc_oqam_postprocessing_vcvc_0, 0))
self.connect((self.ofdm_fbmc_remove_preamble_vcvc_0, 0), (self.blks2_selector_0_0, 0))
self.connect((self.blocks_skiphead_0_0, 0), (self.blks2_selector_0_0, 1))
self.connect((self.blocks_skiphead_0_0, 0), (self.ofdm_fbmc_remove_preamble_vcvc_0, 0))
self.connect((self.ofdm_fbmc_beta_multiplier_vcvc_1, 0), (self.blocks_skiphead_0, 0))
self.connect((self.fft_vxx_1, 0), (self.ofdm_fbmc_beta_multiplier_vcvc_1, 0))
self.connect((self.blocks_skiphead_0, 0), (self.ofdm_fbmc_subchannel_processing_vcvc_0, 0))
self.connect((self.ofdm_fbmc_junction_vcvc_0, 0), (self.fft_vxx_1, 0))
self.connect((self.ofdm_fbmc_symbol_estimation_vcb_0, 0), (self, 0))
self.connect((self.ofdm_fbmc_subchannel_processing_vcvc_0, 1), (self.blocks_null_sink_0, 0))
self.connect((self.ofdm_vector_mask_0, 0), (self.ofdm_fbmc_symbol_estimation_vcb_0, 0))
self.connect((self.ofdm_fbmc_oqam_postprocessing_vcvc_0, 0), (self.ofdm_vector_mask_0, 0))
self.connect((self.ofdm_fbmc_subchannel_processing_vcvc_0, 0), (self.blocks_skiphead_0_0, 0))
self.connect((self, 0), (self.ofdm_fbmc_overlapping_serial_to_parallel_cvc_0, 0))
self.connect((self.ofdm_fbmc_separate_vcvc_0, 0), (self.ofdm_fbmc_polyphase_network_vcvc_2, 0))
self.connect((self.ofdm_fbmc_separate_vcvc_0, 1), (self.ofdm_fbmc_polyphase_network_vcvc_3, 0))
self.connect((self.ofdm_fbmc_overlapping_serial_to_parallel_cvc_0, 0), (self.ofdm_fbmc_separate_vcvc_0, 0))
self.connect((self.ofdm_fbmc_polyphase_network_vcvc_2, 0), (self.ofdm_fbmc_junction_vcvc_0, 0))
self.connect((self.ofdm_fbmc_polyphase_network_vcvc_3, 0), (self.ofdm_fbmc_junction_vcvc_0, 1))
def __init__(self, options, log=False):
## Read configuration
config = station_configuration()
fft_length = config.fft_length
cp_length = config.cp_length
block_header = config.training_data
data_subc = config.data_subcarriers
virtual_subc = config.virtual_subcarriers
total_subc = config.subcarriers
block_length = config.block_length
frame_length = config.frame_length
dc_null = config.dc_null
L = block_header.mm_periodic_parts
## Set Input/Output signature
gr.hier_block2.__init__(
self,
"ofdm_inner_receiver",
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signaturev(
4,
4,
[
gr.sizeof_gr_complex * total_subc, # OFDM blocks
gr.sizeof_char, # Frame start
gr.sizeof_float * total_subc,
gr.sizeof_float
])) # Normalized |CTF|^2
## Input and output ports
self.input = rx_input = self
out_ofdm_blocks = (self, 0)
out_frame_start = (self, 1)
out_disp_ctf = (self, 2)
out_disp_cfo = (self, 3)
## pre-FFT processing
if options.ideal is False and options.ideal2 is False:
if options.old_receiver is False:
## Compute autocorrelations for S&C preamble
## and cyclic prefix
self._sc_metric = sc_metric = autocorrelator(
fft_length / 2, fft_length / 2)
self._gi_metric = gi_metric = autocorrelator(
fft_length, cp_length)
self.connect(rx_input, sc_metric)
self.connect(rx_input, gi_metric)
## Sync. Output contains OFDM blocks
sync = ofdm.time_sync(fft_length, cp_length)
self.connect(rx_input, (sync, 0))
self.connect(sc_metric, (sync, 1))
self.connect(gi_metric, (sync, 2))
ofdm_blocks = (sync, 0)
frame_start = (sync, 1)
#log_to_file( self, ( sync, 1 ), "data/peak_detector.char" )
else:
#Testing old/new metric
self.tm = schmidl.recursive_timing_metric(fft_length)
self.connect(self.input, self.tm)
#log_to_file( self, self.tm, "data/rec_sc_metric_ofdm.float" )
timingmetric_shift = -2 #int(-cp_length/4)# 0#-2 #int(-cp_length * 0.8)
tmfilter = filter.fft_filter_fff(1,
[1. / cp_length] * cp_length)
self.connect(self.tm, tmfilter)
self.tm = tmfilter
self._pd_thres = 0.3
self._pd_lookahead = fft_length / 2 # empirically chosen
peak_detector = ofdm.peak_detector_02_fb(
self._pd_lookahead, self._pd_thres)
self.connect(self.tm, peak_detector)
#log_to_file( self, peak_detector, "data/rec_peak_detector.char" )
frame_start = [0] * frame_length
frame_start[0] = 1
frame_start = self.frame_trigger_old = blocks.vector_source_b(
frame_start, True)
delayed_timesync = blocks.delay(
gr.sizeof_char,
(frame_length - 1) * block_length + timingmetric_shift)
self.connect(peak_detector, delayed_timesync)
self.block_sampler = ofdm.vector_sampler(
gr.sizeof_gr_complex, block_length * frame_length)
self.discard_cp = ofdm.vector_mask(block_length, cp_length,
fft_length, [])
self.connect(self.input, self.block_sampler)
self.connect(delayed_timesync, (self.block_sampler, 1))
# TODO: dynamic solution
vt2s = blocks.vector_to_stream(
gr.sizeof_gr_complex * block_length, frame_length)
self.connect(self.block_sampler, vt2s, self.discard_cp)
#terminate_stream(self,ofdm_blocks)
ofdm_blocks = self.discard_cp
# else:
# serial_to_parallel = blocks.stream_to_vector(gr.sizeof_gr_complex,block_length)
# discard_cp = ofdm.vector_mask(block_length,cp_length,fft_length,[])
# ofdm_blocks = discard_cp
# self.connect( rx_input, serial_to_parallel, discard_cp )
# frame_start = [0]*frame_length
# frame_start[0] = 1
# frame_start = blocks.vector_source_b(frame_start,True)
#
# print "Disabled time synchronization stage"
## Compute autocorrelations for S&C preamble
## and cyclic prefix
#log_to_file( self, sc_metric, "data/sc_metric_ofdm.float" )
#log_to_file(self, frame_start, "data/frame_start.compl")
# log_to_file(self,ofdm_blocks,"data/ofdm_blocks_original.compl")
if options.disable_time_sync or options.ideal or options.ideal2:
if options.ideal is False and options.ideal2 is False:
terminate_stream(self, ofdm_blocks)
terminate_stream(self, frame_start)
serial_to_parallel = blocks.stream_to_vector(
gr.sizeof_gr_complex, block_length)
discard_cp = ofdm.vector_mask_dc_null(block_length, cp_length,
fft_length, dc_null, [])
ofdm_blocks = discard_cp
self.connect(rx_input, serial_to_parallel, discard_cp)
frame_start = [0] * frame_length
frame_start[0] = 1
frame_start = blocks.vector_source_b(frame_start, True)
print "Disabled time synchronization stage"
print "\t\t\t\t\tframe_length = ", frame_length
if options.ideal is False and options.ideal2 is False:
## Extract preamble, feed to Morelli & Mengali frequency offset estimator
assert (block_header.mm_preamble_pos == 0)
morelli_foe = ofdm.mm_frequency_estimator(fft_length, L, 1, 0)
sampler_preamble = ofdm.vector_sampler(
gr.sizeof_gr_complex * fft_length, 1)
self.connect(ofdm_blocks, (sampler_preamble, 0))
self.connect(frame_start, (sampler_preamble, 1))
self.connect(sampler_preamble, morelli_foe)
freq_offset = morelli_foe
## Adaptive LMS FIR filtering of frequency offset
lms_fir = ofdm.lms_fir_ff(20,
1e-3) # TODO: verify parameter choice
self.connect(freq_offset, lms_fir)
freq_offset = lms_fir
#self.zmq_probe_freqoff = zeromq.pub_sink(gr.sizeof_float, 1, "tcp://*:5557")
self.connect(lms_fir, blocks.keep_one_in_n(gr.sizeof_float, 20),
out_disp_cfo)
else:
self.connect(blocks.vector_source_f([1]), out_disp_cfo)
#log_to_file(self, lms_fir, "data/lms_fir.float")
if options.disable_freq_sync or options.ideal or options.ideal2:
if options.ideal is False and options.ideal2 is False:
terminate_stream(self, freq_offset)
freq_offset = blocks.vector_source_f([0.0], True)
print "Disabled frequency synchronization stage"
if options.ideal is False and options.ideal2 is False:
## Correct frequency shift, feed-forward structure
frequency_shift = ofdm.frequency_shift_vcc(fft_length,
-1.0 / fft_length,
cp_length)
self.connect(ofdm_blocks, (frequency_shift, 0))
self.connect(freq_offset, (frequency_shift, 1))
self.connect(frame_start, (frequency_shift, 2))
ofdm_blocks = frequency_shift
## FFT
fft = fft_blocks.fft_vcc(fft_length, True, [], True)
self.connect(ofdm_blocks, fft)
ofdm_blocks = fft
#log_to_file( self, fft, "data/compen.float" )
## Remove virtual subcarriers
if fft_length > data_subc:
subcarrier_mask = ofdm.vector_mask_dc_null(fft_length,
virtual_subc / 2,
total_subc, dc_null, [])
self.connect(ofdm_blocks, subcarrier_mask)
ofdm_blocks = subcarrier_mask
#log_to_file(self, ofdm_blocks, "data/vec_mask.compl")
## Least Squares estimator for channel transfer function (CTF)
if options.logcir:
log_to_file(self, ofdm_blocks, "data/OFDM_Blocks.compl")
inv_preamble_fd = numpy.array(block_header.pilotsym_fd[
block_header.channel_estimation_pilot[0]])
inv_preamble_fd = numpy.concatenate([
inv_preamble_fd[:total_subc / 2],
inv_preamble_fd[total_subc / 2 + dc_null:]
])
#print "Channel estimation pilot: ", inv_preamble_fd
inv_preamble_fd = 1. / inv_preamble_fd
LS_channel_estimator0 = ofdm.multiply_const_vcc(
list(inv_preamble_fd))
self.connect(ofdm_blocks, LS_channel_estimator0,
gr.null_sink(gr.sizeof_gr_complex * total_subc))
log_to_file(self, LS_channel_estimator0,
"data/OFDM_Blocks_eq.compl")
## post-FFT processing
## extract channel estimation preamble from frame
if options.ideal is False and options.ideal2 is False:
chest_pre_trigger = blocks.delay(gr.sizeof_char, 1)
sampled_chest_preamble = ofdm.vector_sampler(
gr.sizeof_gr_complex * total_subc, 1)
self.connect(frame_start, chest_pre_trigger)
self.connect(chest_pre_trigger, (sampled_chest_preamble, 1))
self.connect(ofdm_blocks, (sampled_chest_preamble, 0))
## Least Squares estimator for channel transfer function (CTF)
inv_preamble_fd = numpy.array(block_header.pilotsym_fd[
block_header.channel_estimation_pilot[0]])
inv_preamble_fd = numpy.concatenate([
inv_preamble_fd[:total_subc / 2],
inv_preamble_fd[total_subc / 2 + dc_null:]
])
#print "Channel estimation pilot: ", inv_preamble_fd
inv_preamble_fd = 1. / inv_preamble_fd
LS_channel_estimator = ofdm.multiply_const_vcc(
list(inv_preamble_fd))
self.connect(sampled_chest_preamble, LS_channel_estimator)
estimated_CTF = LS_channel_estimator
if options.logcir:
log_to_file(self, sampled_chest_preamble, "data/PREAM.compl")
if not options.disable_ctf_enhancer:
if options.logcir:
ifft1 = fft_blocks.fft_vcc(total_subc, False, [], True)
self.connect(
estimated_CTF, ifft1,
gr.null_sink(gr.sizeof_gr_complex * total_subc))
summ1 = ofdm.vector_sum_vcc(total_subc)
c2m = gr.complex_to_mag(total_subc)
self.connect(estimated_CTF, summ1,
gr.null_sink(gr.sizeof_gr_complex))
self.connect(estimated_CTF, c2m,
gr.null_sink(gr.sizeof_float * total_subc))
log_to_file(self, ifft1, "data/CIR1.compl")
log_to_file(self, summ1, "data/CTFsumm1.compl")
log_to_file(self, estimated_CTF, "data/CTF1.compl")
log_to_file(self, c2m, "data/CTFmag1.float")
## MSE enhancer
ctf_mse_enhancer = ofdm.CTF_MSE_enhancer(
total_subc, cp_length + cp_length)
self.connect(estimated_CTF, ctf_mse_enhancer)
# log_to_file( self, ctf_mse_enhancer, "data/ctf_mse_enhancer_original.compl")
#ifft3 = fft_blocks.fft_vcc(total_subc,False,[],True)
#null_noise = ofdm.noise_nulling(total_subc, cp_length + cp_length)
#ctf_mse_enhancer = fft_blocks.fft_vcc(total_subc,True,[],True)
#ctf_mse_enhancer = ofdm.vector_mask( fft_length, virtual_subc/2,
# total_subc, [] )
#self.connect( estimated_CTF, ifft3,null_noise,ctf_mse_enhancer )
estimated_CTF = ctf_mse_enhancer
print "Disabled CTF MSE enhancer"
if options.logcir:
ifft2 = fft_blocks.fft_vcc(total_subc, False, [], True)
self.connect(estimated_CTF, ifft2,
gr.null_sink(gr.sizeof_gr_complex * total_subc))
summ2 = ofdm.vector_sum_vcc(total_subc)
c2m2 = gr.complex_to_mag(total_subc)
self.connect(estimated_CTF, summ2,
gr.null_sink(gr.sizeof_gr_complex))
self.connect(estimated_CTF, c2m2,
gr.null_sink(gr.sizeof_float * total_subc))
log_to_file(self, ifft2, "data/CIR2.compl")
log_to_file(self, summ2, "data/CTFsumm2.compl")
log_to_file(self, estimated_CTF, "data/CTF2.compl")
log_to_file(self, c2m2, "data/CTFmag2.float")
## Postprocess the CTF estimate
## CTF -> inverse CTF (for equalizer)
## CTF -> norm |.|^2 (for CTF display)
ctf_postprocess = ofdm.postprocess_CTF_estimate(total_subc)
self.connect(estimated_CTF, ctf_postprocess)
inv_estimated_CTF = (ctf_postprocess, 0)
disp_CTF = (ctf_postprocess, 1)
# if options.disable_equalization or options.ideal:
# terminate_stream(self, inv_estimated_CTF)
# inv_estimated_CTF_vec = blocks.vector_source_c([1.0/fft_length*math.sqrt(total_subc)]*total_subc,True,total_subc)
# inv_estimated_CTF_str = blocks.vector_to_stream(gr.sizeof_gr_complex, total_subc)
# self.inv_estimated_CTF_mul = ofdm.multiply_const_ccf( 1.0/config.rms_amplitude )
# #inv_estimated_CTF_mul.set_k(1.0/config.rms_amplitude)
# inv_estimated_CTF = blocks.stream_to_vector(gr.sizeof_gr_complex, total_subc)
# self.connect( inv_estimated_CTF_vec, inv_estimated_CTF_str, self.inv_estimated_CTF_mul, inv_estimated_CTF)
# print "Disabled equalization stage"
'''
## LMS Phase tracking
## Track residual frequency offset and sampling clock frequency offset
nondata_blocks = []
for i in range(config.frame_length):
if i in config.training_data.pilotsym_pos:
nondata_blocks.append(i)
print"\t\t\t\t\tnondata_blocks=",nondata_blocks
pilot_subc = block_header.pilot_tones
pilot_subcarriers = block_header.pilot_subc_sym
print "PILOT SUBCARRIERS: ", pilot_subcarriers
phase_tracking = ofdm.lms_phase_tracking_03( total_subc, pilot_subc,
nondata_blocks, pilot_subcarriers,0 )
self.connect( ofdm_blocks, ( phase_tracking, 0 ) )
self.connect( inv_estimated_CTF, ( phase_tracking, 1 ) )
self.connect( frame_start, ( phase_tracking, 2 ) ) ##
if options.scatter_plot_before_phase_tracking:
self.before_phase_tracking = equalizer
if options.disable_phase_tracking or options.ideal:
terminate_stream(self, phase_tracking)
print "Disabled phase tracking stage"
else:
ofdm_blocks = phase_tracking
'''
## Channel Equalizer
if options.disable_equalization or options.ideal or options.ideal2:
print "Disabled equalization stage"
if options.ideal is False and options.ideal2 is False:
terminate_stream(self, inv_estimated_CTF)
else:
equalizer = ofdm.channel_equalizer(total_subc)
self.connect(ofdm_blocks, (equalizer, 0))
self.connect(inv_estimated_CTF, (equalizer, 1))
self.connect(frame_start, (equalizer, 2))
ofdm_blocks = equalizer
#log_to_file(self, equalizer,"data/equalizer_siso.compl")
#log_to_file(self, ofdm_blocks, "data/equalizer.compl")
## LMS Phase tracking
## Track residual frequency offset and sampling clock frequency offset
if options.ideal is False and options.ideal2 is False:
nondata_blocks = []
for i in range(config.frame_length):
if i in config.training_data.pilotsym_pos:
nondata_blocks.append(i)
print "\t\t\t\t\tnondata_blocks=", nondata_blocks
pilot_subc = block_header.pilot_tones
pilot_subcarriers = block_header.pilot_subc_sym
print "PILOT SUBCARRIERS: ", pilot_subcarriers
phase_tracking2 = ofdm.lms_phase_tracking_dc_null(
total_subc, pilot_subc, nondata_blocks, pilot_subcarriers,
dc_null)
self.connect(ofdm_blocks, (phase_tracking2, 0))
self.connect(frame_start, (phase_tracking2, 1)) ##
if options.disable_phase_tracking or options.ideal or options.ideal2:
if options.ideal is False and options.ideal2 is False:
terminate_stream(self, phase_tracking2)
print "Disabled phase tracking stage"
else:
ofdm_blocks = phase_tracking2
if options.scatter_plot_before_phase_tracking:
self.before_phase_tracking = equalizer
## Output connections
self.connect(ofdm_blocks, out_ofdm_blocks)
self.connect(frame_start, out_frame_start)
if options.ideal is False and options.ideal2 is False:
self.connect(disp_CTF, out_disp_ctf)
else:
self.connect(blocks.vector_source_f([1.0] * total_subc),
blocks.stream_to_vector(gr.sizeof_float, total_subc),
out_disp_ctf)
if log:
log_to_file(self, sc_metric, "data/sc_metric.float")
log_to_file(self, gi_metric, "data/gi_metric.float")
log_to_file(self, morelli_foe, "data/morelli_foe.float")
log_to_file(self, lms_fir, "data/lms_fir.float")
log_to_file(self, sampler_preamble, "data/preamble.compl")
log_to_file(self, sync, "data/sync.compl")
log_to_file(self, frequency_shift, "data/frequency_shift.compl")
log_to_file(self, fft, "data/fft.compl")
log_to_file(self, fft, "data/fft.float", mag=True)
if vars().has_key('subcarrier_mask'):
log_to_file(self, subcarrier_mask,
"data/subcarrier_mask.compl")
log_to_file(self, ofdm_blocks, "data/ofdm_blocks_out.compl")
log_to_file(self,
frame_start,
"data/frame_start.float",
char_to_float=True)
log_to_file(self, sampled_chest_preamble,
"data/sampled_chest_preamble.compl")
log_to_file(self, LS_channel_estimator,
"data/ls_channel_estimator.compl")
log_to_file(self,
LS_channel_estimator,
"data/ls_channel_estimator.float",
mag=True)
if "ctf_mse_enhancer" in locals():
log_to_file(self, ctf_mse_enhancer,
"data/ctf_mse_enhancer.compl")
log_to_file(self,
ctf_mse_enhancer,
"data/ctf_mse_enhancer.float",
mag=True)
log_to_file(self, (ctf_postprocess, 0),
"data/inc_estimated_ctf.compl")
log_to_file(self, (ctf_postprocess, 1), "data/disp_ctf.float")
log_to_file(self, equalizer, "data/equalizer.compl")
log_to_file(self, equalizer, "data/equalizer.float", mag=True)
log_to_file(self, phase_tracking, "data/phase_tracking.compl")
def __init__(self, fft_length, block_length, frame_data_part, block_header,
options):
gr.hier_block2.__init__(self, "ofdm_receiver",
gr.io_signature (1,1,gr.sizeof_gr_complex),
gr.io_signature2(2,2,gr.sizeof_gr_complex*fft_length,
gr.sizeof_char))
frame_length = frame_data_part + block_header.no_pilotsyms
cp_length = block_length-fft_length
self.input=gr.kludge_copy(gr.sizeof_gr_complex)
self.connect(self, self.input)
self.blocks_out = (self,0)
self.frame_trigger_out = (self,1)
self.snr_out = (self,2)
if options.log:
log_to_file(self, self.input, "data/receiver_input.compl")
# peak detector: thresholds low, high
#self._pd_thres_lo = 0.09
#self._pd_thres_hi = 0.1
self._pd_thres = 0.2
self._pd_lookahead = fft_length / 2 # empirically chosen
#########################
# coarse timing offset estimator
# self.tm = schmidl.modified_timing_metric(fft_length,[1]*(fft_length))
self.tm = schmidl.recursive_timing_metric(fft_length)
self.connect(self.input,self.tm)
assert(hasattr(block_header, 'sc_preamble_pos'))
assert(block_header.sc_preamble_pos == 0) # TODO: relax this restriction
if options.filter_timingmetric:
timingmetric_shift = -2 #int(-cp_length * 0.8)
tmfilter = gr.fir_filter_fff(1, [1./cp_length]*cp_length)
self.connect( self.tm, tmfilter )
self.timing_metric = tmfilter
print "Filtering timing metric, experimental"
else:
self.timing_metric = self.tm
timingmetric_shift = int(-cp_length/4)
if options.log:
log_to_file(self, self.timing_metric, "data/tm.float")
# peak detection
#threshold = gr.threshold_ff(self._pd_thres_lo,self._pd_thres_hi,0)
#muted_tm = gr.multiply_ff()
peak_detector = peak_detector_02_fb(self._pd_lookahead, self._pd_thres)
#self.connect(self.timing_metric, threshold, (muted_tm,0))
#self.connect(self.timing_metric, (muted_tm,1))
#self.connect(muted_tm, peak_detector)
self.connect(self.timing_metric, peak_detector)
if options.log:
pd_float = gr.char_to_float()
self.connect(peak_detector,pd_float)
log_to_file(self, pd_float, "data/peakdetector.float")
if options.no_timesync:
terminate_stream( self, peak_detector )
trigger = [0]*(frame_length*block_length)
trigger[ block_length-1 ] = 1
peak_detector = blocks.vector_source_b( trigger, True )
print "Bypassing timing synchronisation"
# TODO: refine detected peaks with 90% average method as proposed
# from Schmidl & Cox:
# Starting from peak, find first points to the left and right whose
# value is less than or equal 90% of the peak value. New trigger point
# is average of both
# Frequency Offset Estimation
# Used: Algorithm as proposed from Morelli & Mengali
# Idea: Use periodic preamble, correlate identical parts, determine
# phase offset. This phase offset is a function of the frequency offset.
assert(hasattr(block_header, 'mm_preamble_pos'))
foe = morelli_foe(fft_length,block_header.mm_periodic_parts)
self.connect(self.input,(foe,0))
if block_header.mm_preamble_pos > 0:
delayed_trigger = gr.delay(gr.sizeof_char,
block_header.mm_preamble_pos*block_length)
self.connect(peak_detector,delayed_trigger,(foe,1))
else:
self.connect(peak_detector,(foe,1))
self.freq_offset = foe
if options.log:
log_to_file(self, self.freq_offset, "data/freqoff_out.float")
if options.average_freqoff:
#avg_foe = gr.single_pole_iir_filter_ff( 0.1 )
avg_foe = ofdm.lms_fir_ff( 20, 1e-3 )
self.connect( self.freq_offset, avg_foe )
self.freq_offset = avg_foe
#log_to_file( self, avg_foe, "data/freqoff_out_avg.float" )
print "EXPERIMENTAL!!! Filtering frequency offset estimate"
if options.no_freqsync:
terminate_stream( self, self.freq_offset )
self.freq_offset = blocks.vector_source_f( [0.0], True )
print "Bypassing frequency offset estimator, offset=0.0"
# TODO: dynamic solution
frametrig_seq = concatenate([[1],[0]*(frame_length-1)])
self.time_sync = peak_detector
self.frame_trigger = blocks.vector_source_b(frametrig_seq,True)
self.connect(self.frame_trigger, self.frame_trigger_out)
##########################
# symbol extraction and processing
# First, we extract the whole ofdm block, then we divide this block into
# several ofdm symbols. This asserts that all symbols belonging to the
# same ofdm block will be a consecutive order.
# extract ofdm symbols
# compensate frequency offset
# TODO: use PLL and update/reset signals
delayed_timesync = gr.delay(gr.sizeof_char,
(frame_length-1)*block_length+timingmetric_shift)
self.connect( self.time_sync, delayed_timesync )
self.block_sampler = vector_sampler(gr.sizeof_gr_complex,block_length*frame_length)
self.discard_cp = vector_mask(block_length,cp_length,fft_length,[])
if options.use_dpll:
dpll = gr.dpll_bb( frame_length * block_length , .01 )
self.connect( delayed_timesync, dpll )
if options.log:
dpll_f = gr.char_to_float()
delayed_timesync_f = gr.char_to_float()
self.connect( dpll, dpll_f )
self.connect( delayed_timesync, delayed_timesync_f )
log_to_file( self, dpll_f, "data/dpll.float" )
log_to_file( self, delayed_timesync_f, "data/dpll_in.float" )
delayed_timesync = dpll
print "Using DPLL, EXPERIMENTAL!!!!!"
self.connect(self.input,self.block_sampler)
self.connect(delayed_timesync,(self.block_sampler,1))
if options.log:
log_to_file(self, self.block_sampler, "data/block_sampler_out.compl")
# TODO: dynamic solution
self.ofdm_symbols = blocks.vector_to_stream(gr.sizeof_gr_complex*block_length,
frame_length)
self.connect(self.block_sampler,self.ofdm_symbols,self.discard_cp)
if options.log:
log_to_file(self, self.discard_cp, "data/discard_cp_out.compl")
dcp_fft = gr.fft_vcc(fft_length, True, [], True)
self.connect(self.discard_cp,dcp_fft)
log_to_file(self, dcp_fft, "data/discard_cp_fft.compl")
# reset phase accumulator inside freq_shift on every block start
# setup output connection
freq_shift = frequency_shift_vcc(fft_length, -1.0/fft_length, cp_length)
self.connect(self.discard_cp,(freq_shift,0))
self.connect(self.freq_offset,(freq_shift,1))
self.connect(self.frame_trigger,(freq_shift,2))
self.connect(freq_shift, self.blocks_out)
if options.log:
log_to_file(self, freq_shift, "data/freqshift_out.compl")
if options.no_freqshift:
terminate_stream( self, freq_shift )
freq_shift = self.discard_cp
print "Bypassing frequency shift block"