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Diffstat (limited to 'gnuradio-examples/python/channel-coding/test_tcm2.py')
| -rwxr-xr-x | gnuradio-examples/python/channel-coding/test_tcm2.py | 116 |
1 files changed, 0 insertions, 116 deletions
diff --git a/gnuradio-examples/python/channel-coding/test_tcm2.py b/gnuradio-examples/python/channel-coding/test_tcm2.py deleted file mode 100755 index 9680909ea6..0000000000 --- a/gnuradio-examples/python/channel-coding/test_tcm2.py +++ /dev/null @@ -1,116 +0,0 @@ -#!/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,dimensionality,constellation,N0,seed): - fg = gr.flow_graph () - - - # TX - #packet = [0]*Kb - #for i in range(Kb-1*16): # last 16 bits = 0 to drive the final state to 0 - #packet[i] = random.randint(0, 1) # random 0s and 1s - #src = gr.vector_source_s(packet,False) - src = gr.lfsr_32k_source_s() - src_head = gr.head (gr.sizeof_short,Kb/16) # packet size in shorts - #b2s = gr.unpacked_to_packed_ss(1,gr.GR_MSB_FIRST) # pack bits 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 - 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 = trellis.metrics_f(f.O(),dimensionality,constellation,trellis.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 - #s2b = gr.packed_to_unpacked_ss(1,gr.GR_MSB_FIRST) # unpack shorts to bits - #dst = gr.vector_sink_s(); - dst = gr.check_lfsr_32k_s() - - - fg.connect (src,src_head,s2fsmi,enc,mod) - #fg.connect (src,b2s,s2fsmi,enc,mod) - fg.connect (mod,(add,0)) - fg.connect (noise,(add,1)) - fg.connect (add,metrics) - fg.connect (metrics,va,fsmi2s,dst) - #fg.connect (metrics,va,fsmi2s,s2b,dst) - - - fg.run() - - # A bit of cheating: run the program once and print the - # final encoder state.. - # Then put it as the last argument in the viterbi block - #print "final state = " , enc.ST() - - ntotal = dst.ntotal () - nright = dst.nright () - runlength = dst.runlength () - #ntotal = len(packet) - #if len(dst.data()) != ntotal: - #print "Error: not enough data\n" - #nright = 0; - #for i in range(ntotal): - #if packet[i]==dst.data()[i]: - #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]) # Es/No in dB - rep=int(args[1]) # number of times the experiment is run to collect enough errors - else: - sys.stderr.write ('usage: test_tcm2.py Es/No_db repetitions\n') - sys.exit (1) - - # system parameters - f=trellis.fsm(1,2,[5,7]) # generate FSM specification from the generator matrix - Kb=1024*16 # packet size in bits (make it multiple of 16 so it can be packed in a short) - bitspersymbol = int(round(math.log(f.I())/math.log(2))) # bits per FSM input symbol - K=Kb/bitspersymbol # packet size in trellis steps - modulation = fsm_utils.psk4 # see fsm_utlis.py for available predefined modulations - dimensionality = modulation[0] - constellation = modulation[1] - if len(constellation)/dimensionality != f.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(f,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:]) |