From 7dc08ba2875c0dace0432cd514add6ce2b085f44 Mon Sep 17 00:00:00 2001
From: Tom Rondeau <trondeau@vt.edu>
Date: Tue, 3 Apr 2012 11:35:35 -0400
Subject: examples: Reworked locations and installation of examples.
All python and GRC examples directly associated with a top-level component are now in that examples directory. Examples are split into c++, python, and grc dirs but are all installed into $prefix/share/gnuradio/examples/<component>.
---
gr-trellis/src/examples/python/test_tcm_bit.py | 129 +++++++++++++++++++++++++
1 file changed, 129 insertions(+)
create mode 100755 gr-trellis/src/examples/python/test_tcm_bit.py
(limited to 'gr-trellis/src/examples/python/test_tcm_bit.py')
diff --git a/gr-trellis/src/examples/python/test_tcm_bit.py b/gr-trellis/src/examples/python/test_tcm_bit.py
new file mode 100755
index 0000000000..cc5caefbc7
--- /dev/null
+++ b/gr-trellis/src/examples/python/test_tcm_bit.py
@@ -0,0 +1,129 @@
+#!/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
+from gnuradio.eng_option import eng_option
+from optparse import OptionParser
+
+
+def run_test (f,Kb,bitspersymbol,K,dimensionality,constellation,N0,seed):
+ tb = gr.top_block ()
+
+ # TX
+ packet = [0]*Kb
+ # this for loop is TOO slow!!!
+ for i in range(Kb-1*16): # last 16 bits = 0 to drive the final state to 0
+ packet[i] = random.randint(0, 1) # random 0s and 1s
+ src = gr.vector_source_s(packet,False)
+ #src = gr.lfsr_32k_source_s()
+ #src_head = gr.head (gr.sizeof_short,Kb/16) # packet size in shorts
+ b2s = gr.unpacked_to_packed_ss(1,gr.GR_MSB_FIRST) # pack bits 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
+ 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 = 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 = gr.unpacked_to_packed_ss(bitspersymbol,gr.GR_MSB_FIRST) # pack FSM input symbols to shorts
+ s2b = gr.packed_to_unpacked_ss(1,gr.GR_MSB_FIRST) # unpack shorts to bits
+ dst = gr.vector_sink_s();
+ #dst = gr.check_lfsr_32k_s();
+
+
+ #tb.connect (src,src_head,s2fsmi,enc,mod)
+ tb.connect (src,b2s,s2fsmi,enc,mod)
+ tb.connect (mod,(add,0))
+ tb.connect (noise,(add,1))
+ tb.connect (add,metrics)
+ #tb.connect (metrics,va,fsmi2s,dst)
+ tb.connect (metrics,va,fsmi2s,s2b,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 ()
+ ntotal = len(packet)
+ if len(dst.data()) != ntotal:
+ print "Error: not enough data\n"
+ nright = 0;
+ # this for loop is TOO slow!!!
+ for i in range(ntotal):
+ if packet[i]==dst.data()[i]:
+ nright=nright+1
+ #else:
+ #print "Error in ", i
+ return (ntotal,ntotal-nright)
+
+
+
+
+def main():
+ parser = OptionParser(option_class=eng_option)
+ parser.add_option("-f", "--fsm_file", type="string", default="fsm_files/awgn1o2_4.fsm", help="Filename containing the fsm specification, e.g. -f fsm_files/awgn1o2_4.fsm (default=fsm_files/awgn1o2_4.fsm)")
+ parser.add_option("-e", "--esn0", type="eng_float", default=10.0, help="Symbol energy to noise PSD level ratio in dB, e.g., -e 10.0 (default=10.0)")
+ parser.add_option("-r", "--repetitions", type="int", default=100, help="Number of packets to be generated for the simulation, e.g., -r 100 (default=100)")
+
+ (options, args) = parser.parse_args ()
+ if len(args) != 0:
+ parser.print_help()
+ raise SystemExit, 1
+
+ fname=options.fsm_file
+ esn0_db=float(options.esn0)
+ rep=int(options.repetitions)
+
+
+ # 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 / (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(f,Kb,bitspersymbol,K,dimensionality,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)%1==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()
--
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