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[Commit-gnuradio] r3312 - gnuradio/branches/developers/anastas/wip/gnura
From: |
anastas |
Subject: |
[Commit-gnuradio] r3312 - gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding |
Date: |
Wed, 16 Aug 2006 11:06:33 -0600 (MDT) |
Author: anastas
Date: 2006-08-16 11:06:33 -0600 (Wed, 16 Aug 2006)
New Revision: 3312
Added:
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/test_tcm2.py
Modified:
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/README
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/fsm_utils.py
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/test_sccc_turbo.py
Log:
clean up
Modified:
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/README
===================================================================
---
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/README
2006-08-16 16:58:21 UTC (rev 3311)
+++
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/README
2006-08-16 17:06:33 UTC (rev 3312)
@@ -10,6 +10,7 @@
./test_tcm.py fsm_files/awgn1o2_4.fsm 10.0 1000
./test_tcm1.py fsm_files/awgn1o2_4.fsm 10.0 1000
+./test_tcm2.py 10.0 1000
./test_tcm_combined.py fsm_files/awgn1o2_4.fsm 10.0 1000
./test_tcm_parallel.py fsm_files/awgn1o2_4.fsm 10.0 1000
./test_sccc_hard.py fsm_files/awgn1o2_4.fsm fsm_files/awgn1o2_4.fsm 10.0 1000
@@ -30,6 +31,6 @@
900 1024 0 922624 1120 1.213929e-03
1024000 1129 1.102539e-03
-1.102539e-03 is the error rate estimates by sending 1000 packets of
-1024x16 bits each using an 1/2 4-state convolutional code and QPSK
+1.102539e-03 is the error rate estimate by sending 1000 packets of
+1024 shorts each, using an 1/2 4-state convolutional code and QPSK
modulation through an AWGN with Es/N0 = 6.0 dB
Modified:
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/fsm_utils.py
===================================================================
---
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/fsm_utils.py
2006-08-16 16:58:21 UTC (rev 3311)
+++
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/fsm_utils.py
2006-08-16 17:06:33 UTC (rev 3312)
@@ -60,102 +60,7 @@
-
-
######################################################################
-# Automaticaly generate the FSM structure for a binary feed-forward
-# convolutional code.
-# Input: k x n generator matrix (decimal representation)
-######################################################################
-def make_fsm_bin_cc_ff(k,n,GM):
- mem=[[]]*k
- max_mem_x=[-1]*k
- max_mem = -1
- for i in range(k):
- memr=[0]*n
- for j in range(n):
- if GM[i][j]==0:
- memr[j]=-1
- else:
- memr[j]=int(math.log(GM[i][j],2))
- if memr[j]>max_mem_x[i]:
- max_mem_x[i]=memr[j]
- if memr[j]>max_mem:
- max_mem=memr[j]
- mem[i]=memr
-
- sum_max_mem = 0
- for i in range(k):
- sum_max_mem = sum_max_mem+max_mem_x[i]
-
-
- #print mem
- #print max_mem_x
- #print max_mem
- #print sum_max_mem
-
- I=2**k
- S=2**sum_max_mem
- O=2**n
-
- #print I, S, O
-
- NS=[0]*S*I;
- OS=[0]*S*I;
- for s in range(S):
- for i in range(I):
- ss=dec2base(s,2,sum_max_mem)
- ind=0
- ss_r=[]
- for kk in range(k):
- ss1 = [0]*max_mem
- ss1[0:max_mem_x[kk]] = ss[ind:ind+max_mem_x[kk]]
- ss_r.append(ss1)
- ind=ind+max_mem_x[kk]
- ii=dec2base(i,2,k)
-
- tt_r = ss_r
- for kk in range(k):
- tt_r[kk].insert(0,ii[kk])
- #print tt_r
-
- ns_r = []
- for kk in range(k):
- ns_r.append(tt_r[kk][0:max_mem])
-
- ns=[]
- for kk in range(k):
- ns = ns + ns_r[kk][0:max_mem_x[kk]]
- NS[s*I+i]=base2dec(ns,2);
-
- out_r=[0]*n
- for nn in range(n):
- out=0;
- for kk in range(k):
- c=[0]*max_mem
- gm = dec2base(GM[kk][nn],2,max_mem_x[kk]+1)
- gm.reverse()
- c[0:len(gm)] = gm
- sy = 0
- for m in range(len(c)):
- sy = sy + c[m]*tt_r[kk][m];
- out=operator.mod(out+sy,2);
- out_r[nn]=out;
- out_r.reverse()
- OS[s*I+i] = base2dec(out_r,2);
-
- #O=max(max(OS))+1;
- print I, S, O
- print NS
- print OS
-
- return (I,S,O,NS,OS)
-
-
-
-
-
-######################################################################
# Automatically generate the lookup table that maps the FSM outputs
# to channel inputs corresponding to a channel 'channel' and a modulation
# 'mod'. Optional normalization of channel to unit energy.
Modified:
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/test_sccc_turbo.py
===================================================================
---
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/test_sccc_turbo.py
2006-08-16 16:58:21 UTC (rev 3311)
+++
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/test_sccc_turbo.py
2006-08-16 17:06:33 UTC (rev 3312)
@@ -119,7 +119,7 @@
Es = Es + constellation[i]**2
Es = Es / (len(constellation)/dimensionality)
N0=Es/pow(10.0,esn0_db/10.0); # calculate noise variance
- IT = 2 # number of turbo iterations
+ IT = 3 # number of turbo iterations
tot_s=0 # total number of transmitted shorts
terr_s=0 # total number of shorts in error
Added:
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/test_tcm2.py
===================================================================
---
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/test_tcm2.py
(rev 0)
+++
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/test_tcm2.py
2006-08-16 17:06:33 UTC (rev 3312)
@@ -0,0 +1,114 @@
+#!/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 random
+import fsm_utils
+
+def run_test (f,Kb,bitspersymbol,K,dimensionality,constellation,N0,seed):
+ fg = gr.flow_graph ()
+
+
+ # TX
+ #packet = [0]*Kb
+ #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,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.
+ 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()
+
+
+ fg.connect (src,src_head,s2fsmi,enc,mod)
+ #fg.connect (src,b2s,s2fsmi,enc,mod)
+ fg.connect (mod,(add,0))
+ fg.connect (noise,(add,1))
+ fg.connect (add,metrics)
+ fg.connect (metrics,va,fsmi2s,dst)
+ #fg.connect (metrics,va,fsmi2s,s2b,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 ()
+ #ntotal = len(packet)
+ #if len(dst.data()) != ntotal:
+ #print "Error: not enough data\n"
+ #nright = 0;
+ #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(args):
+ nargs = len (args)
+ if nargs == 2:
+ esn0_db=float(args[0]) # Es/No in dB
+ rep=int(args[1]) # number of times the experiment is run to collect
enough errors
+ else:
+ sys.stderr.write ('usage: test_tcm2.py Es/No_db repetitions\n')
+ sys.exit (1)
+
+ # system parameters
+ f=trellis.fsm(1,2,[5,7]) # generate FSM specification from the generator
matrix
+ 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))
# run experiment with different seed to get different noise realizations
+ tot_s=tot_s+s
+ terr_s=terr_s+e
+ if (i%100==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:])
Property changes on:
gnuradio/branches/developers/anastas/wip/gnuradio-examples/python/channel-coding/test_tcm2.py
___________________________________________________________________
Name: svn:executable
+ *
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