summaryrefslogtreecommitdiff
path: root/gr-trellis/examples/python/test_tcm.py
diff options
context:
space:
mode:
Diffstat (limited to 'gr-trellis/examples/python/test_tcm.py')
-rwxr-xr-xgr-trellis/examples/python/test_tcm.py76
1 files changed, 34 insertions, 42 deletions
diff --git a/gr-trellis/examples/python/test_tcm.py b/gr-trellis/examples/python/test_tcm.py
index bf9710aa1c..dfc565616e 100755
--- a/gr-trellis/examples/python/test_tcm.py
+++ b/gr-trellis/examples/python/test_tcm.py
@@ -6,9 +6,10 @@ from gnuradio import eng_notation
import math
import sys
import random
-import fsm_utils
+from gnuradio.trellis import fsm_utils
from gnuradio.eng_option import eng_option
from optparse import OptionParser
+import numpy
try:
from gnuradio import analog
@@ -19,39 +20,32 @@ except ImportError:
def run_test (f,Kb,bitspersymbol,K,dimensionality,constellation,N0,seed):
tb = gr.top_block ()
-
# 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 = blocks.vector_source_s(packet,False)
- src = blocks.lfsr_32k_source_s()
- src_head = blocks.head(gr.sizeof_short,Kb/16) # packet size in shorts
- #b2s = blocks.unpacked_to_packed_ss(1,gr.GR_MSB_FIRST) # pack bits in shorts
+ numpy.random.seed(-seed)
+ packet = numpy.random.randint(0,2,Kb) # create Kb random bits
+ packet[Kb-10:Kb]=0
+ packet[0:Kb]=0
+ src = blocks.vector_source_s(packet.tolist(),False)
+ b2s = blocks.unpacked_to_packed_ss(1,gr.GR_MSB_FIRST) # pack bits 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)
+ noise = analog.noise_source_f(analog.GR_GAUSSIAN,math.sqrt(N0/2),long(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.
+ va = trellis.viterbi_combined_fs(f,K,0,0,dimensionality,constellation,digital.TRELLIS_EUCLIDEAN) # 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
- #s2b = blocks.packed_to_unpacked_ss(1,gr.GR_MSB_FIRST) # unpack shorts to bits
- #dst = blocks.vector_sink_s();
- dst = blocks.check_lfsr_32k_s()
+ s2b = blocks.packed_to_unpacked_ss(1,gr.GR_MSB_FIRST) # unpack shorts to bits
+ dst = blocks.vector_sink_s();
- tb.connect (src,src_head,s2fsmi,enc,mod)
- #tb.connect (src,b2s,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.connect (add,va,fsmi2s,s2b,dst)
tb.run()
@@ -61,19 +55,11 @@ def run_test (f,Kb,bitspersymbol,K,dimensionality,constellation,N0,seed):
# 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)
+ if len(dst.data()) != len(packet):
+ print "Error: not enough data:", len(dst.data()), len(packet)
+ ntotal=len(packet)
+ nwrong = sum(abs(packet-numpy.array(dst.data())));
+ return (ntotal,nwrong,abs(packet-numpy.array(dst.data())))
@@ -113,20 +99,26 @@ def main():
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
+ tot_b=0 # total number of transmitted bits
+ terr_b=0 # total number of bits 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)
+ (b,e,pattern)=run_test(f,Kb,bitspersymbol,K,dimensionality,constellation,N0,-(666+i)) # run experiment with different seed to get different noise realizations
+ tot_b=tot_b+b
+ terr_b=terr_b+e
+ terr_p=terr_p+(e!=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)
+ print i+1,terr_p, '%.2e' % ((1.0*terr_p)/(i+1)),tot_b,terr_b, '%.2e' % ((1.0*terr_b)/tot_b)
+ if e!=0:
+ print "rep=",i, e
+ for k in range(Kb):
+ if pattern[k]!=0:
+ print k
+ # estimate of the bit error rate
+ print rep,terr_p, '%.2e' % ((1.0*terr_p)/(i+1)),tot_b,terr_b, '%.2e' % ((1.0*terr_b)/tot_b)
if __name__ == '__main__':
main()
+