diff options
Diffstat (limited to 'gr-trellis/src/examples/python/test_viterbi_equalization.py')
-rwxr-xr-x | gr-trellis/src/examples/python/test_viterbi_equalization.py | 93 |
1 files changed, 0 insertions, 93 deletions
diff --git a/gr-trellis/src/examples/python/test_viterbi_equalization.py b/gr-trellis/src/examples/python/test_viterbi_equalization.py deleted file mode 100755 index 9f3f7e391..000000000 --- a/gr-trellis/src/examples/python/test_viterbi_equalization.py +++ /dev/null @@ -1,93 +0,0 @@ -#!/usr/bin/env python - -from gnuradio import gr -from gnuradio import trellis, digital -from gnuradio import eng_notation -import math -import sys -import fsm_utils - -def run_test (f,Kb,bitspersymbol,K,dimensionality,tot_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 FSM input cardinality - enc = trellis.encoder_ss(f,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 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 - metrics = trellis.metrics_f(f.O(),dimensionality,tot_constellation,digital.TRELLIS_EUCLIDEAN) # data preprocessing to generate metrics for Viterbi - va = trellis.viterbi_s(f,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,mod) - tb.connect (mod,(add,0)) - tb.connect (noise,(add,1)) - tb.connect (add,metrics) - tb.connect (metrics,va,fsmi2s,dst) - - tb.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 == 2: - esn0_db=float(args[0]) - rep=int(args[1]) - else: - sys.stderr.write ('usage: test_viterbi_equalization.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,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 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:]) - |