diff options
Diffstat (limited to 'gr-trellis/doc/test_tcm.py')
| -rw-r--r-- | gr-trellis/doc/test_tcm.py | 23 |
1 files changed, 13 insertions, 10 deletions
diff --git a/gr-trellis/doc/test_tcm.py b/gr-trellis/doc/test_tcm.py index 61ab00f1c8..e9a0ba59eb 100644 --- a/gr-trellis/doc/test_tcm.py +++ b/gr-trellis/doc/test_tcm.py @@ -1,5 +1,8 @@ #!/usr/bin/env python +from __future__ import print_function +from __future__ import division +from __future__ import unicode_literals from gnuradio import gr from gnuradio import audio from gnuradio import trellis, digital, blocks @@ -20,14 +23,14 @@ def run_test (f,Kb,bitspersymbol,K,dimensionality,constellation,N0,seed): # TX src = blocks.lfsr_32k_source_s() - src_head = blocks.head (gr.sizeof_short,Kb/16) # packet size in shorts + src_head = blocks.head (gr.sizeof_short,Kb / 16) # packet size in shorts s2fsmi = blocks.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 = digital.chunks_to_symbols_sf(constellation,dimensionality) # CHANNEL add = blocks.add_ff() - noise = analog.noise_source_f(analog.GR_GAUSSIAN,math.sqrt(N0/2),seed) + noise = analog.noise_source_f(analog.GR_GAUSSIAN,math.sqrt(N0 / 2),seed) # RX metrics = trellis.metrics_f(f.O(),dimensionality,constellation,digital.TRELLIS_EUCLIDEAN) # data preprocessing to generate metrics for Viterbi @@ -67,31 +70,31 @@ def main(args): # system parameters f=trellis.fsm(fname) # get the FSM specification from a file 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 + 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(): + 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); # noise variance + Es = Es / (old_div(len(constellation,dimensionality))) + N0=Es / pow(10.0,old_div(esn0_db,10.0)); # noise variance tot_s=0 terr_s=0 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 + (s,e)=run_test(f,Kb,bitspersymbol,K,dimensionality,constellation,N0,-int(666+i)) # run experiment with different seed to get different noise realizations tot_s=tot_s+s terr_s=terr_s+e if (i%100==0): - print i,s,e,tot_s,terr_s, '%e' % ((1.0*terr_s)/tot_s) + print(i,s,e,tot_s,terr_s, '%e' % ((1.0*terr_s) / tot_s)) # estimate of the (short) error rate - print tot_s,terr_s, '%e' % ((1.0*terr_s)/tot_s) + print(tot_s,terr_s, '%e' % ((1.0*terr_s) / tot_s)) if __name__ == '__main__': |