#!/usr/bin/env python from gnuradio import gr from gnuradio import trellis, digital from gnuradio import eng_notation import math import sys import random import fsm_utils def run_test (fo,fi,interleaver,Kb,bitspersymbol,K,dimensionality,constellation,N0,seed): tb = gr.top_block () # 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 outer 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 mod = gr.chunks_to_symbols_sf(constellation,dimensionality) # CHANNEL add = gr.add_ff() noise = gr.noise_source_f(gr.GR_GAUSSIAN,math.sqrt(N0/2),seed) # RX metrics_in = trellis.metrics_f(fi.O(),dimensionality,constellation,digital.TRELLIS_EUCLIDEAN) # data preprocessing to generate metrics for innner Viterbi va_in = trellis.viterbi_s(fi,K,0,-1) # Put -1 if the Initial/Final states are not set. deinter = trellis.permutation(interleaver.K(),interleaver.DEINTER(),1,gr.sizeof_short) metrics_out = trellis.metrics_s(fo.O(),1,[0,1,2,3],digital.TRELLIS_HARD_SYMBOL) # data preprocessing to generate metrics for outer Viterbi (hard decisions) va_out = trellis.viterbi_s(fo,K,0,-1) # Put -1 if the Initial/Final states are not set. fsmi2s = gr.unpacked_to_packed_ss(bitspersymbol,gr.GR_MSB_FIRST) # pack FSM input symbols to shorts dst = gr.check_lfsr_32k_s() tb.connect (src,src_head,s2fsmi,enc_out,inter,enc_in,mod) tb.connect (mod,(add,0)) tb.connect (noise,(add,1)) tb.connect (add,metrics_in) tb.connect (metrics_in,va_in,deinter,metrics_out,va_out,fsmi2s,dst) tb.run() ntotal = dst.ntotal () nright = dst.nright () runlength = dst.runlength () return (ntotal,ntotal-nright) def main(args): nargs = len (args) if nargs == 4: fname_out=args[0] fname_in=args[1] esn0_db=float(args[2]) # Es/No in dB rep=int(args[3]) # number of times the experiment is run to collect enough errors else: sys.stderr.write ('usage: test_tcm.py fsm_name_out fsm_fname_in Es/No_db repetitions\n') sys.exit (1) # system parameters Kb=1024*16 # packet size in bits (make it multiple of 16 so it can be packed in a short) fo=trellis.fsm(fname_out) # get the outer FSM specification from a file fi=trellis.fsm(fname_in) # get the innner FSM specification from a file bitspersymbol = int(round(math.log(fo.I())/math.log(2))) # bits per FSM input symbol if fo.O() != fi.I(): sys.stderr.write ('Incompatible cardinality between outer and inner FSM.\n') sys.exit (1) K=Kb/bitspersymbol # packet size in trellis steps interleaver=trellis.interleaver(K,666) # construct a random interleaver modulation = fsm_utils.psk8 # see fsm_utlis.py for available predefined modulations dimensionality = modulation[0] constellation = modulation[1] if len(constellation)/dimensionality != fi.O(): sys.stderr.write ('Incompatible FSM output cardinality and modulation size.\n') sys.exit (1) # calculate average symbol energy Es = 0 for i in range(len(constellation)): Es = Es + constellation[i]**2 Es = Es / (len(constellation)/dimensionality) N0=Es/pow(10.0,esn0_db/10.0); # calculate noise variance 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,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 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:])