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Diffstat (limited to 'gnuradio-examples/python/channel-coding/test_viterbi_equalization1.py')
-rwxr-xr-x | gnuradio-examples/python/channel-coding/test_viterbi_equalization1.py | 101 |
1 files changed, 101 insertions, 0 deletions
diff --git a/gnuradio-examples/python/channel-coding/test_viterbi_equalization1.py b/gnuradio-examples/python/channel-coding/test_viterbi_equalization1.py new file mode 100755 index 000000000..133e550db --- /dev/null +++ b/gnuradio-examples/python/channel-coding/test_viterbi_equalization1.py @@ -0,0 +1,101 @@ +#!/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 run_test (f,Kb,bitspersymbol,K,channel,modulation,dimensionality,tot_constellation,N0,seed): + fg = gr.flow_graph () + L = len(channel) + + # TX + # this for loop is TOO slow in python!!! + packet = [0]*(K+2*L) + for i in range(len(packet)): + packet[i] = random.randint(0, 2**bitspersymbol - 1) # random symbols + for i in range(L): # first/last L symbols set to 0 + packet[i] = 0 + packet[len(packet)-i-1] = 0 + src = gr.vector_source_s(packet,False) + 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 + #metrics = trellis.metrics_f(f.O(),dimensionality,tot_constellation,trellis.TRELLIS_EUCLIDEAN) # data preprocessing to generate metrics for Viterbi + #va = trellis.viterbi_s(f,K+2*L,-1,0) # Put -1 if the Initial/Final states are not set. Better if we could skip the first L symbols and start with a 0 state... don't know how to "skip" samples in gnuradio + va = trellis.viterbi_combined_s(f,dimensionality,tot_constellation,K+2*L,-1,0,trellis.TRELLIS_EUCLIDEAN) # using viterbi_combined_s instead of metrics_f/viterbi_s allows larger packet lengths because metrics_f is complaining for not being able to allocate large buffers. This is due to the large f.O() in this application... + dst = gr.vector_sink_s() + + fg.connect (src,mod) + fg.connect (mod,isi,(add,0)) + fg.connect (noise,(add,1)) + #fg.connect (add,metrics) + #fg.connect (metrics,va,dst) + fg.connect (add,va,dst) + + fg.run() + + data = dst.data() + ntotal = len(data) - 2*L + nright=0 + for i in range(ntotal): + if packet[i+L]==data[i+L]: + nright=nright+1 + #else: + #print "Error in ", i + + return (ntotal,ntotal-nright) + + +def main(args): + nargs = len (args) + if nargs == 2: + esn0_db=float(args[0]) + rep=int(args[1]) + else: + sys.stderr.write ('usage: test_viterbi_equalization1.py Es/No_db repetitions\n') + sys.exit (1) + + # system parameters + Kb=128*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 + f=trellis.fsm(len(modulation[1]),len(channel)) # generate the FSM automatically + bitspersymbol = int(round(math.log(f.I())/math.log(2))) # bits per FSM input symbol + K=Kb/bitspersymbol # packet size in trellis steps + + 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] + N0=pow(10.0,-esn0_db/10.0); # noise variance + if len(tot_constellation)/dimensionality != f.O(): + sys.stderr.write ('Incompatible FSM output cardinality and lookup table size.\n') + sys.exit (1) + + 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(f,Kb,bitspersymbol,K,channel,modulation,dimensionality,tot_constellation,N0,-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)%100==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 symbol) 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:]) |