added pccc decoder + examples

1 files changed, 119 insertions, 0 deletions

diff --git a/gr-trellis/src/examples/test_pccc_turbo1.py b/gr-trellis/src/examples/test_pccc_turbo1.py
new file mode 100755
index 000000000..1173d0734
--- /dev/null
+++ b/gr-trellis/src/examples/test_pccc_turbo1.py
@@ -0,0 +1,119 @@
+#!/usr/bin/env python
+
+from gnuradio import gr
+from gnuradio import trellis
+from gnuradio import eng_notation
+import math
+import sys
+import random
+import fsm_utils
+
+
+def run_test (fo,fi,interleaver,Kb,bitspersymbol,K,dimensionality,constellation,Es,N0,IT,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 outer FSM input cardinality
+    #src = gr.vector_source_s([0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1],False)
+    enc = trellis.pccc_encoder_ss(fo,0,fi,0,interleaver,K)
+    code = gr.vector_sink_s()
+    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_in = trellis.metrics_f(fi.O()*fo.O(),dimensionality,constellation,trellis.TRELLIS_EUCLIDEAN) # data preprocessing to generate metrics for innner SISO
+    scale = gr.multiply_const_ff(1.0/N0)
+    dec = trellis.pccc_decoder_s(fo,0,-1,fi,0,-1,interleaver,K,IT,trellis.TRELLIS_MIN_SUM)
+ 
+    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 (src,enc,mod)
+    #tb.connect(enc,code)
+    tb.connect (mod,(add,0))
+    tb.connect (noise,(add,1))
+    tb.connect (add,metrics_in,scale,dec,fsmi2s,dst)
+
+    tb.run()
+ 
+    #print code.data()
+    
+    ntotal = dst.ntotal ()
+    nright = dst.nright ()
+    runlength = dst.runlength ()
+    return (ntotal,ntotal-nright)
+
+
+def main(args):
+    nargs = len (args)
+    if nargs == 5:
+        fname_out=args[0]
+        fname_in=args[1]
+        esn0_db=float(args[2]) # Es/No in dB
+        IT=int(args[3])
+        rep=int(args[4]) # number of times the experiment is run to collect enough errors
+    else:
+        sys.stderr.write ('usage: test_pccc_turbo.py fsm_name_1 fsm_fname_2 Es/No_db iterations repetitions\n')
+        sys.exit (1)
+
+    # system parameters
+    Kb=1024*16  # packet size in bits (make it multiple of 16 so it can be packed in a short)
+    fo=trellis.fsm(fname_out) # get the outer FSM specification from a file
+    fi=trellis.fsm(fname_in) # get the innner FSM specification from a file
+    bitspersymbol = int(round(math.log(fo.I())/math.log(2))) # bits per FSM input symbol
+    if fo.I() != fi.I():
+        sys.stderr.write ('Incompatible input cardinality between two FSMs.\n')
+        sys.exit (1)
+    K=Kb/bitspersymbol # packet size in trellis steps
+    interleaver=trellis.interleaver(K,666) # construct a random interleaver
+    #modulation = fsm_utils.psk8 # see fsm_utlis.py for available predefined modulations
+    dimensionality = 4
+    constellation = [ 1, 0, 1, 0,\
+                      1, 0,-1, 0,\
+                      1, 0, 0, 1,\
+                      1, 0, 0,-1,\
+                     -1, 0, 1, 0,\
+                     -1, 0,-1, 0,\
+                     -1, 0, 0, 1,\
+                     -1, 0, 0,-1,\
+                      0, 1, 1, 0,\
+                      0, 1,-1, 0,\
+                      0, 1, 0, 1,\
+                      0, 1, 0,-1,\
+                      0,-1, 1, 0,\
+                      0,-1,-1, 0,\
+                      0,-1, 0, 1,\
+                      0,-1, 0,-1,] # equivalent to 2 QPSK symbols
+    if len(constellation)/dimensionality != fi.O()*fo.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(fo,fi,interleaver,Kb,bitspersymbol,K,dimensionality,constellation,Es,N0,IT,-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)%10==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:])