diff options
4 files changed, 455 insertions, 16 deletions
diff --git a/gnuradio-examples/python/channel-coding/test_sccc_turbo.py b/gnuradio-examples/python/channel-coding/test_sccc_turbo.py index cdd1ad8b0..f67fb0922 100755 --- a/gnuradio-examples/python/channel-coding/test_sccc_turbo.py +++ b/gnuradio-examples/python/channel-coding/test_sccc_turbo.py @@ -21,29 +21,33 @@ def make_rx(fg,fo,fi,dimensionality,constellation,K,interleaver,IT,Es,N0,type): siso_in=[] siso_out=[] - for it in range(IT-1): + # generate all blocks + for it in range(IT): inter.append( trellis.permutation(interleaver.K(),interleaver.INTER(),fi.I(),gr.sizeof_float) ) - siso_in.append( trellis.siso_f(fi,K,0,3,True,False,type) ) + siso_in.append( trellis.siso_f(fi,K,0,-1,True,False,type) ) deinter.append( trellis.permutation(interleaver.K(),interleaver.DEINTER(),fi.I(),gr.sizeof_float) ) - siso_out.append( trellis.siso_f(fo,K,0,3,False,True,type) ) - fg.connect (inter[it],(siso_in[it],0)) - fg.connect (gnd,(siso_out[it],0)) - fg.connect (siso_in[it],deinter[it],(siso_out[it],1)) - - inter.append( trellis.permutation(interleaver.K(),interleaver.INTER(),fi.I(),gr.sizeof_float) ) - siso_in.append( trellis.siso_f(fi,K,0,-1,True,False,type) ) - deinter.append( trellis.permutation(interleaver.K(),interleaver.DEINTER(),fi.I(),gr.sizeof_float) ) - siso_out.append( trellis.viterbi_s(fo,K,0,-1) ) - fg.connect (inter[IT-1],(siso_in[IT-1],0)) - fg.connect (siso_in[IT-1],deinter[IT-1],siso_out[IT-1]) + if it < IT-1: + siso_out.append( trellis.siso_f(fo,K,0,-1,False,True,type) ) + else: + siso_out.append( trellis.viterbi_s(fo,K,0,-1) ) # no soft outputs needed # connect first stage fg.connect (gnd,inter[0]) fg.connect (metrics_in,scale) fg.connect (scale,(siso_in[0],1)) - for it in range(IT-1): - fg.connect (siso_out[it],inter[it+1]) - fg.connect (metrics_in,(siso_in[it+1],1)) + + # connect the rest + for it in range(IT): + if it < IT-1: + fg.connect (metrics_in,(siso_in[it+1],1)) + fg.connect (siso_in[it],deinter[it],(siso_out[it],1)) + fg.connect (gnd,(siso_out[it],0)) + fg.connect (siso_out[it],inter[it+1]) + fg.connect (inter[it],(siso_in[it],0)) + else: + fg.connect (siso_in[it],deinter[it],siso_out[it]) + fg.connect (inter[it],(siso_in[it],0)) + return (metrics_in,siso_out[IT-1]) diff --git a/gnuradio-examples/python/channel-coding/test_turbo_equalization.py b/gnuradio-examples/python/channel-coding/test_turbo_equalization.py new file mode 100755 index 000000000..113826238 --- /dev/null +++ b/gnuradio-examples/python/channel-coding/test_turbo_equalization.py @@ -0,0 +1,141 @@ +#!/usr/bin/env python + +from gnuradio import gr +from gnuradio import audio +from gnuradio import trellis +from gnuradio import eng_notation +import math +import sys +import fsm_utils + + +def make_rx(fg,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,type): + metrics_in = trellis.metrics_f(fi.O(),dimensionality,tot_constellation,trellis.TRELLIS_EUCLIDEAN) # data preprocessing to generate metrics for innner SISO + scale = gr.multiply_const_ff(1.0/N0) + gnd = gr.vector_source_f([0],True); + + inter=[] + deinter=[] + siso_in=[] + siso_out=[] + + # generate all blocks + for it in range(IT): + inter.append( trellis.permutation(interleaver.K(),interleaver.INTER(),fi.I(),gr.sizeof_float) ) + siso_in.append( trellis.siso_f(fi,K,0,-1,True,False,type) ) + deinter.append( trellis.permutation(interleaver.K(),interleaver.DEINTER(),fi.I(),gr.sizeof_float) ) + if it < IT-1: + siso_out.append( trellis.siso_f(fo,K,0,-1,False,True,type) ) + else: + siso_out.append( trellis.viterbi_s(fo,K,0,-1) ) # no soft outputs needed + + # connect first stage + fg.connect (gnd,inter[0]) + fg.connect (metrics_in,scale) + fg.connect (scale,(siso_in[0],1)) + + # connect the rest + for it in range(IT): + if it < IT-1: + fg.connect (metrics_in,(siso_in[it+1],1)) + fg.connect (siso_in[it],deinter[it],(siso_out[it],1)) + fg.connect (gnd,(siso_out[it],0)) + fg.connect (siso_out[it],inter[it+1]) + fg.connect (inter[it],(siso_in[it],0)) + else: + fg.connect (siso_in[it],deinter[it],siso_out[it]) + fg.connect (inter[it],(siso_in[it],0)) + + return (metrics_in,siso_out[IT-1]) + + +def run_test (fo,fi,interleaver,Kb,bitspersymbol,K,dimensionality,tot_constellation,Es,N0,IT,seed): + fg = gr.flow_graph () + + # TX + src = gr.lfsr_32k_source_s() + src_head = gr.head (gr.sizeof_short,Kb/16) # packet size in shorts + s2fsmi = gr.packed_to_unpacked_ss(bitspersymbol,gr.GR_MSB_FIRST) # unpack shorts to symbols compatible with the iouter FSM input cardinality + enc_out = trellis.encoder_ss(fo,0) # initial state = 0 + inter = trellis.permutation(interleaver.K(),interleaver.INTER(),1,gr.sizeof_short) + enc_in = trellis.encoder_ss(fi,0) # initial state = 0 + # essentially here we implement the combination of modulation and channel as a memoryless modulation (the memory induced by the channel is hidden in the innner FSM) + mod = gr.chunks_to_symbols_sf(tot_constellation,dimensionality) + + # CHANNEL + add = gr.add_ff() + noise = gr.noise_source_f(gr.GR_GAUSSIAN,math.sqrt(N0/2),seed) + + # RX + (head,tail) = make_rx(fg,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,trellis.TRELLIS_MIN_SUM) + fsmi2s = gr.unpacked_to_packed_ss(bitspersymbol,gr.GR_MSB_FIRST) # pack FSM input symbols to shorts + dst = gr.check_lfsr_32k_s(); + + fg.connect (src,src_head,s2fsmi,enc_out,inter,enc_in,mod) + fg.connect (mod,(add,0)) + fg.connect (noise,(add,1)) + fg.connect (add,head) + fg.connect (tail,fsmi2s,dst) + + fg.run() + + ntotal = dst.ntotal () + nright = dst.nright () + runlength = dst.runlength () + #print ntotal,nright,runlength + + return (ntotal,ntotal-nright) + + + + +def main(args): + nargs = len (args) + if nargs == 3: + fname_out=args[0] + esn0_db=float(args[1]) + rep=int(args[2]) + else: + sys.stderr.write ('usage: test_turbo_equalization.py fsm_name_out Es/No_db repetitions\n') + sys.exit (1) + + # system parameters + Kb=64*16 # packet size in bits (multiple of 16) + modulation = fsm_utils.pam4 # see fsm_utlis.py for available predefined modulations + channel = fsm_utils.c_channel # see fsm_utlis.py for available predefined test channels + fo=trellis.fsm(fname_out) # get the outer FSM specification from a file + fi=trellis.fsm(len(modulation[1]),len(channel)) # generate the FSM automatically + if fo.O() != fi.I(): + sys.stderr.write ('Incompatible cardinality between outer and inner FSM.\n') + sys.exit (1) + bitspersymbol = int(round(math.log(fo.I())/math.log(2))) # bits per FSM input symbol + K=Kb/bitspersymbol # packet size in trellis steps + interleaver=trellis.interleaver(K,666) # construct a random interleaver + tot_channel = fsm_utils.make_isi_lookup(modulation,channel,True) # generate the lookup table (normalize energy to 1) + dimensionality = tot_channel[0] + tot_constellation = tot_channel[1] + if len(tot_constellation)/dimensionality != fi.O(): + sys.stderr.write ('Incompatible FSM output cardinality and lookup table size.\n') + sys.exit (1) + N0=pow(10.0,-esn0_db/10.0); # noise variance + IT = 3 # number of turbo iterations + + tot_s=0 # total number of transmitted shorts + terr_s=0 # total number of shorts in error + terr_p=0 # total number of packets in error + + for i in range(rep): + (s,e)=run_test(fo,fi,interleaver,Kb,bitspersymbol,K,dimensionality,tot_constellation,1,N0,IT,-long(666+i)) # run experiment with different seed to get different noise realizations + tot_s=tot_s+s + terr_s=terr_s+e + terr_p=terr_p+(terr_s!=0) + if ((i+1)%10==0) : # display progress + print i+1,terr_p, '%.2e' % ((1.0*terr_p)/(i+1)),tot_s,terr_s, '%.2e' % ((1.0*terr_s)/tot_s) + # estimate of the (short or bit) error rate + print rep,terr_p, '%.2e' % ((1.0*terr_p)/(i+1)),tot_s,terr_s, '%.2e' % ((1.0*terr_s)/tot_s) + + + +if __name__ == '__main__': + main (sys.argv[1:]) + diff --git a/gnuradio-examples/python/channel-coding/test_turbo_equalization1.py b/gnuradio-examples/python/channel-coding/test_turbo_equalization1.py new file mode 100755 index 000000000..5afd5ba66 --- /dev/null +++ b/gnuradio-examples/python/channel-coding/test_turbo_equalization1.py @@ -0,0 +1,147 @@ +#!/usr/bin/env python + +from gnuradio import gr +from gnuradio import audio +from gnuradio import trellis +from gnuradio import eng_notation +import math +import sys +import random +import fsm_utils + +def make_rx(fg,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,type): + metrics_in = trellis.metrics_f(fi.O(),dimensionality,tot_constellation,trellis.TRELLIS_EUCLIDEAN) # data preprocessing to generate metrics for innner SISO + scale = gr.multiply_const_ff(1.0/N0) + gnd = gr.vector_source_f([0],True); + + inter=[] + deinter=[] + siso_in=[] + siso_out=[] + + # generate all blocks + for it in range(IT): + inter.append( trellis.permutation(interleaver.K(),interleaver.INTER(),fi.I(),gr.sizeof_float) ) + siso_in.append( trellis.siso_f(fi,K,0,-1,True,False,type) ) + deinter.append( trellis.permutation(interleaver.K(),interleaver.DEINTER(),fi.I(),gr.sizeof_float) ) + if it < IT-1: + siso_out.append( trellis.siso_f(fo,K,0,-1,False,True,type) ) + else: + siso_out.append( trellis.viterbi_s(fo,K,0,-1) ) # no soft outputs needed + + # connect first stage + fg.connect (gnd,inter[0]) + fg.connect (metrics_in,scale) + fg.connect (scale,(siso_in[0],1)) + + # connect the rest + for it in range(IT): + if it < IT-1: + fg.connect (scale,(siso_in[it+1],1)) + fg.connect (siso_in[it],deinter[it],(siso_out[it],1)) + fg.connect (gnd,(siso_out[it],0)) + fg.connect (siso_out[it],inter[it+1]) + fg.connect (inter[it],(siso_in[it],0)) + else: + fg.connect (siso_in[it],deinter[it],siso_out[it]) + fg.connect (inter[it],(siso_in[it],0)) + + return (metrics_in,siso_out[IT-1]) + + +def run_test (fo,fi,interleaver,Kb,bitspersymbol,K,channel,modulation,dimensionality,tot_constellation,Es,N0,IT,seed): + fg = gr.flow_graph () + L = len(channel) + + # TX + # this for loop is TOO slow in python!!! + packet = [0]*(K) + random.seed(seed) + for i in range(len(packet)): + packet[i] = random.randint(0, 2**bitspersymbol - 1) # random symbols + src = gr.vector_source_s(packet,False) + enc_out = trellis.encoder_ss(fo,0) # initial state = 0 + inter = trellis.permutation(interleaver.K(),interleaver.INTER(),1,gr.sizeof_short) + mod = gr.chunks_to_symbols_sf(modulation[1],modulation[0]) + + # CHANNEL + isi = gr.fir_filter_fff(1,channel) + add = gr.add_ff() + noise = gr.noise_source_f(gr.GR_GAUSSIAN,math.sqrt(N0/2),seed) + + # RX + (head,tail) = make_rx(fg,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,trellis.TRELLIS_MIN_SUM) + dst = gr.vector_sink_s(); + + fg.connect (src,enc_out,inter,mod) + fg.connect (mod,isi,(add,0)) + fg.connect (noise,(add,1)) + fg.connect (add,head) + fg.connect (tail,dst) + + fg.run() + + data = dst.data() + ntotal = len(data) + nright=0 + for i in range(ntotal): + if packet[i]==data[i]: + nright=nright+1 + #else: + #print "Error in ", i + + return (ntotal,ntotal-nright) + + + + +def main(args): + nargs = len (args) + if nargs == 3: + fname_out=args[0] + esn0_db=float(args[1]) + rep=int(args[2]) + else: + sys.stderr.write ('usage: test_turbo_equalization.py fsm_name_out Es/No_db repetitions\n') + sys.exit (1) + + # system parameters + Kb=64*16 # packet size in bits (multiple of 16) + modulation = fsm_utils.pam4 # see fsm_utlis.py for available predefined modulations + channel = fsm_utils.c_channel # see fsm_utlis.py for available predefined test channels + fo=trellis.fsm(fname_out) # get the outer FSM specification from a file + fi=trellis.fsm(len(modulation[1]),len(channel)) # generate the FSM automatically + if fo.O() != fi.I(): + sys.stderr.write ('Incompatible cardinality between outer and inner FSM.\n') + sys.exit (1) + bitspersymbol = int(round(math.log(fo.I())/math.log(2))) # bits per FSM input symbol + K=Kb/bitspersymbol # packet size in trellis steps + interleaver=trellis.interleaver(K,666) # construct a random interleaver + tot_channel = fsm_utils.make_isi_lookup(modulation,channel,True) # generate the lookup table (normalize energy to 1) + dimensionality = tot_channel[0] + tot_constellation = tot_channel[1] + if len(tot_constellation)/dimensionality != fi.O(): + sys.stderr.write ('Incompatible FSM output cardinality and lookup table size.\n') + sys.exit (1) + N0=pow(10.0,-esn0_db/10.0); # noise variance + IT = 3 # number of turbo iterations + + tot_s=0 # total number of transmitted shorts + terr_s=0 # total number of shorts in error + terr_p=0 # total number of packets in error + + for i in range(rep): + (s,e)=run_test(fo,fi,interleaver,Kb,bitspersymbol,K,channel,modulation,dimensionality,tot_constellation,1,N0,IT,-long(666+i)) # run experiment with different seed to get different noise realizations + tot_s=tot_s+s + terr_s=terr_s+e + terr_p=terr_p+(terr_s!=0) + if ((i+1)%10==0) : # display progress + print i+1,terr_p, '%.2e' % ((1.0*terr_p)/(i+1)),tot_s,terr_s, '%.2e' % ((1.0*terr_s)/tot_s) + # estimate of the (short or bit) error rate + print rep,terr_p, '%.2e' % ((1.0*terr_p)/(i+1)),tot_s,terr_s, '%.2e' % ((1.0*terr_s)/tot_s) + + + +if __name__ == '__main__': + main (sys.argv[1:]) + diff --git a/gnuradio-examples/python/channel-coding/test_turbo_equalization2.py b/gnuradio-examples/python/channel-coding/test_turbo_equalization2.py new file mode 100755 index 000000000..7e252d6d1 --- /dev/null +++ b/gnuradio-examples/python/channel-coding/test_turbo_equalization2.py @@ -0,0 +1,147 @@ +#!/usr/bin/env python + +from gnuradio import gr +from gnuradio import audio +from gnuradio import trellis +from gnuradio import eng_notation +import math +import sys +import random +import fsm_utils + +def make_rx(fg,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,type): + scale = gr.multiply_const_ff(math.sqrt(1.0/N0)) + gnd = gr.vector_source_f([0],True); + + inter=[] + deinter=[] + siso_in=[] + siso_out=[] + + # generate all blocks + for it in range(IT): + inter.append( trellis.permutation(interleaver.K(),interleaver.INTER(),fi.I(),gr.sizeof_float) ) + siso_in.append( trellis.siso_combined_f(fi,K,0,-1,True,False,type,dimensionality,tot_constellation,trellis.TRELLIS_EUCLIDEAN) ) + deinter.append( trellis.permutation(interleaver.K(),interleaver.DEINTER(),fi.I(),gr.sizeof_float) ) + if it < IT-1: + siso_out.append( trellis.siso_f(fo,K,0,-1,False,True,type) ) + else: + siso_out.append( trellis.viterbi_s(fo,K,0,-1) ) # no soft outputs needed + + # connect first stage + fg.connect (gnd,inter[0]) + fg.connect (scale,(siso_in[0],1)) + + # connect the rest + for it in range(IT): + if it < IT-1: + fg.connect (scale,(siso_in[it+1],1)) + fg.connect (siso_in[it],deinter[it],(siso_out[it],1)) + fg.connect (gnd,(siso_out[it],0)) + fg.connect (siso_out[it],inter[it+1]) + fg.connect (inter[it],(siso_in[it],0)) + else: + fg.connect (siso_in[it],deinter[it],siso_out[it]) + fg.connect (inter[it],(siso_in[it],0)) + + return (scale,siso_out[IT-1]) + + +def run_test (fo,fi,interleaver,Kb,bitspersymbol,K,channel,modulation,dimensionality,tot_constellation,Es,N0,IT,seed): + fg = gr.flow_graph () + L = len(channel) + + # TX + # this for loop is TOO slow in python!!! + packet = [0]*(K) + random.seed(seed) + for i in range(len(packet)): + packet[i] = random.randint(0, 2**bitspersymbol - 1) # random symbols + src = gr.vector_source_s(packet,False) + enc_out = trellis.encoder_ss(fo,0) # initial state = 0 + inter = trellis.permutation(interleaver.K(),interleaver.INTER(),1,gr.sizeof_short) + mod = gr.chunks_to_symbols_sf(modulation[1],modulation[0]) + + # CHANNEL + isi = gr.fir_filter_fff(1,channel) + add = gr.add_ff() + noise = gr.noise_source_f(gr.GR_GAUSSIAN,math.sqrt(N0/2),seed) + + # RX + (head,tail) = make_rx(fg,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,trellis.TRELLIS_MIN_SUM) + dst = gr.vector_sink_s(); + + fg.connect (src,enc_out,inter,mod) + fg.connect (mod,isi,(add,0)) + fg.connect (noise,(add,1)) + fg.connect (add,head) + fg.connect (tail,dst) + + fg.run() + + data = dst.data() + ntotal = len(data) + nright=0 + for i in range(ntotal): + if packet[i]==data[i]: + nright=nright+1 + #else: + #print "Error in ", i + + return (ntotal,ntotal-nright) + + + + +def main(args): + nargs = len (args) + if nargs == 3: + fname_out=args[0] + esn0_db=float(args[1]) + rep=int(args[2]) + else: + sys.stderr.write ('usage: test_turbo_equalization.py fsm_name_out Es/No_db repetitions\n') + sys.exit (1) + + # system parameters + Kb=64*16 # packet size in bits (multiple of 16) + modulation = fsm_utils.pam4 # see fsm_utlis.py for available predefined modulations + channel = fsm_utils.c_channel # see fsm_utlis.py for available predefined test channels + fo=trellis.fsm(fname_out) # get the outer FSM specification from a file + fi=trellis.fsm(len(modulation[1]),len(channel)) # generate the FSM automatically + if fo.O() != fi.I(): + sys.stderr.write ('Incompatible cardinality between outer and inner FSM.\n') + sys.exit (1) + bitspersymbol = int(round(math.log(fo.I())/math.log(2))) # bits per FSM input symbol + K=Kb/bitspersymbol # packet size in trellis steps + interleaver=trellis.interleaver(K,666) # construct a random interleaver + tot_channel = fsm_utils.make_isi_lookup(modulation,channel,True) # generate the lookup table (normalize energy to 1) + dimensionality = tot_channel[0] + N0=pow(10.0,-esn0_db/10.0); # noise variance + tot_constellation =[0]*len(tot_channel[1]) + for i in range(len(tot_channel[1])): + tot_constellation[i] = tot_channel[1][i] * math.sqrt(1.0/N0) + if len(tot_constellation)/dimensionality != fi.O(): + sys.stderr.write ('Incompatible FSM output cardinality and lookup table size.\n') + sys.exit (1) + IT = 3 # number of turbo iterations + + tot_s=0 # total number of transmitted shorts + terr_s=0 # total number of shorts in error + terr_p=0 # total number of packets in error + + for i in range(rep): + (s,e)=run_test(fo,fi,interleaver,Kb,bitspersymbol,K,channel,modulation,dimensionality,tot_constellation,1,N0,IT,-long(666+i)) # run experiment with different seed to get different noise realizations + tot_s=tot_s+s + terr_s=terr_s+e + terr_p=terr_p+(terr_s!=0) + if ((i+1)%10==0) : # display progress + print i+1,terr_p, '%.2e' % ((1.0*terr_p)/(i+1)),tot_s,terr_s, '%.2e' % ((1.0*terr_s)/tot_s) + # estimate of the (short or bit) error rate + print rep,terr_p, '%.2e' % ((1.0*terr_p)/(i+1)),tot_s,terr_s, '%.2e' % ((1.0*terr_s)/tot_s) + + + +if __name__ == '__main__': + main (sys.argv[1:]) + |