From 77d25d75e11b7d574ab7073e1054cb25e66baa12 Mon Sep 17 00:00:00 2001
From: anastas <anastas@221aa14e-8319-0410-a670-987f0aec2ac5>
Date: Fri, 11 Aug 2006 10:57:08 +0000
Subject: Added examples for gr-trellis in
 gnuradio-examples/python/channel-coding

git-svn-id: http://gnuradio.org/svn/gnuradio/trunk@3235 221aa14e-8319-0410-a670-987f0aec2ac5
---
 .../python/channel-coding/test_tcm_parallel.py     | 105 +++++++++++++++++++++
 1 file changed, 105 insertions(+)
 create mode 100755 gnuradio-examples/python/channel-coding/test_tcm_parallel.py

(limited to 'gnuradio-examples/python/channel-coding/test_tcm_parallel.py')

diff --git a/gnuradio-examples/python/channel-coding/test_tcm_parallel.py b/gnuradio-examples/python/channel-coding/test_tcm_parallel.py
new file mode 100755
index 0000000000..230bf4b984
--- /dev/null
+++ b/gnuradio-examples/python/channel-coding/test_tcm_parallel.py
@@ -0,0 +1,105 @@
+#!/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 fsm_utils
+
+def run_test (f,Kb,bitspersymbol,K,dimensionality,constellation,N0,seed,P):
+    fg = gr.flow_graph ()
+
+    # TX
+    src = gr.lfsr_32k_source_s()
+    src_head = gr.head (gr.sizeof_short,Kb/16*P) # 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
+    s2p = gr.stream_to_streams(2,P) # serial to parallel
+    enc = trellis.encoder_ss(f,0) # initiali state = 0
+    mod = gr.chunks_to_symbols_sf(constellation,dimensionality)
+
+    # CHANNEL
+    add=[]
+    noise=[]
+    for i in range(P):
+        add.append(gr.add_ff())
+        noise.append(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.
+    p2s = gr.streams_to_stream(2,P) # parallel to serial
+    fsmi2s=gr.unpacked_to_packed_ss(bitspersymbol,gr.GR_MSB_FIRST) # pack FSM input symbols to shorts
+    dst = gr.check_lfsr_32k_s()
+
+    fg.connect (src,src_head,s2fsmi,s2p)
+    for i in range(P):
+        fg.connect ((s2p,i),(enc,i),(mod,i))
+        fg.connect ((mod,i),(add[i],0))
+        fg.connect (noise[i],(add[i],1))
+        fg.connect (add[i],(metrics,i))
+        fg.connect ((metrics,i),(va,i),(p2s,i))
+    fg.connect (p2s,fsmi2s,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 ()
+    
+    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
+    P=4  # how many parallel streams?
+    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
+    for i in range(rep):
+        (s,e)=run_test(f,Kb,bitspersymbol,K,dimensionality,constellation,N0,-long(666+i),P) # run experiment with different seed to get different noise realizations
+        tot_s=tot_s+s
+        terr_s=terr_s+e
+        if (i%10==0) & (i>0): # display progress
+            print i,s,e,tot_s,terr_s, '%e' % ((1.0*terr_s)/tot_s)
+    # estimate of the (short or bit) error rate
+    print tot_s,terr_s, '%e' % ((1.0*terr_s)/tot_s)
+
+
+if __name__ == '__main__':
+    main (sys.argv[1:])
+
-- 
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