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-rwxr-xr-xgr-trellis/src/examples/python/test_viterbi_equalization.py93
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:])
-