diff options
Diffstat (limited to 'gr-trellis/src/examples/python/test_sccc_turbo2.py')
-rwxr-xr-x | gr-trellis/src/examples/python/test_sccc_turbo2.py | 101 |
1 files changed, 0 insertions, 101 deletions
diff --git a/gr-trellis/src/examples/python/test_sccc_turbo2.py b/gr-trellis/src/examples/python/test_sccc_turbo2.py deleted file mode 100755 index dff1ba93c..000000000 --- a/gr-trellis/src/examples/python/test_sccc_turbo2.py +++ /dev/null @@ -1,101 +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 random -import fsm_utils - - -def run_test (fo,fi,interleaver,Kb,bitspersymbol,K,dimensionality,constellation,Es,N0,IT,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 = trellis.sccc_encoder_ss(fo,0,fi,0,interleaver,K) - 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 SISO - scale = gr.multiply_const_ff(1.0/N0) - dec = trellis.sccc_decoder_s(fo,0,-1,fi,0,-1,interleaver,K,IT,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() - - #tb.connect (src,src_head,s2fsmi,enc_out,inter,enc_in,mod) - tb.connect (src,src_head,s2fsmi,enc,mod) - tb.connect (mod,(add,0)) - tb.connect (noise,(add,1)) - #tb.connect (add,head) - #tb.connect (tail,fsmi2s,dst) - tb.connect (add,metrics_in,scale,dec,fsmi2s,dst) - - tb.run() - - #print enc_out.ST(), enc_in.ST() - - ntotal = dst.ntotal () - nright = dst.nright () - runlength = dst.runlength () - return (ntotal,ntotal-nright) - - -def main(args): - nargs = len (args) - if nargs == 5: - fname_out=args[0] - fname_in=args[1] - esn0_db=float(args[2]) # Es/No in dB - IT=int(args[3]) - rep=int(args[4]) # 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 iterations 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,Es,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:]) |