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+#!/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
+from gnuradio import eng_notation
+import math
+import sys
+import random
+import fsm_utils
+
+try:
+ from gnuradio import analog
+except ImportError:
+ sys.stderr.write("Error: Program requires gr-analog.\n")
+ sys.exit(1)
+
+def run_test (f,Kb,bitspersymbol,K,dimensionality,constellation,N0,seed):
+ tb = gr.top_block ()
+
+ # TX
+ src = blocks.lfsr_32k_source_s()
+ 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)
+
+ # RX
+ metrics = trellis.metrics_f(f.O(),dimensionality,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 = blocks.unpacked_to_packed_ss(bitspersymbol,gr.GR_MSB_FIRST) # pack FSM input symbols to shorts
+ dst = blocks.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()
+
+ # 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 ()
+ return (ntotal,ntotal-nright)
+
+
+def main(args):
+ nargs = len (args)
+ if nargs == 3:
+ fname=args[0]
+ esn0_db=float(args[1]) # Es/No in dB
+ rep=int(args[2]) # number of times the experiment is run to collect enough errors
+ else:
+ sys.stderr.write ('usage: test_tcm.py fsm_fname Es/No_db repetitions\n')
+ sys.exit (1)
+
+ # 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
+ 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 / (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,-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))
+ # estimate of the (short) error rate
+ print(tot_s,terr_s, '%e' % ((1.0*terr_s) / tot_s))
+
+
+if __name__ == '__main__':
+ main (sys.argv[1:])