      1  #!/usr/bin/env python
      2
      3  from gnuradio import gr
      4  from gnuradio import audio
      5  from gnuradio import trellis, digital, filter, blocks
      6  from gnuradio import eng_notation
      7  import math
      8  import sys
      9  import random
     10  import fsm_utils
     11
     12  try:
     13      from gnuradio import analog
     14  except ImportError:
     15      sys.stderr.write("Error: Program requires gr-analog.\n")
     16      sys.exit(1)
     17
     18  def run_test (f,Kb,bitspersymbol,K,channel,modulation,dimensionality,tot_constellation,N0,seed):
     19      tb = gr.top_block ()
     20      L = len(channel)
     21
     22      # TX
     23      # this for loop is TOO slow in python!!!
     24      packet = [0]*(K+2*L)
     25      random.seed(seed)
     26      for i in range(len(packet)):
     27          packet[i] = random.randint(0, 2**bitspersymbol - 1) # random symbols
     28      for i in range(L): # first/last L symbols set to 0
     29          packet[i] = 0
     30          packet[len(packet)-i-1] = 0
     31      src = blocks.vector_source_s(packet,False)
     32      mod = digital.chunks_to_symbols_sf(modulation[1],modulation[0])
     33
     34      # CHANNEL
     35      isi = filter.fir_filter_fff(1,channel)
     36      add = blocks.add_ff()
     37      noise = analog.noise_source_f(analog.GR_GAUSSIAN,math.sqrt(N0 / 2),seed)
     38
     39      # RX
     40      skip = blocks.skiphead(gr.sizeof_float, L) # skip the first L samples since you know they are coming from the L zero symbols
     41      #metrics = trellis.metrics_f(f.O(),dimensionality,tot_constellation,digital.TRELLIS_EUCLIDEAN) # data preprocessing to generate metrics for Viterbi
     42      #va = trellis.viterbi_s(f,K+L,0,0) # Put -1 if the Initial/Final states are not set.
     43      va = trellis.viterbi_combined_s(f,K+L,0,0,dimensionality,tot_constellation,digital.TRELLIS_EUCLIDEAN) # using viterbi_combined_s instead of metrics_f/viterbi_s allows larger packet lengths because metrics_f is complaining for not being able to allocate large buffers. This is due to the large f.O() in this application...
     44      dst = blocks.vector_sink_s()
     45
     46      tb.connect (src,mod)
     47      tb.connect (mod,isi,(add,0))
     48      tb.connect (noise,(add,1))
     49      #tb.connect (add,metrics)
     50      #tb.connect (metrics,va,dst)
     51      tb.connect (add,skip,va,dst)
     52
     53      tb.run()
     54
     55      data = dst.data()
     56      ntotal = len(data) - L
     57      nright=0
     58      for i in range(ntotal):
     59          if packet[i+L]==data[i]:
     60              nright=nright+1
     61          #else:
     62              #print "Error in ", i
     63
     64      return (ntotal,ntotal-nright)
     65
     66
     67  def main(args):
     68      nargs = len (args)
     69      if nargs == 2:
     70          esn0_db=float(args[0])
     71          rep=int(args[1])
     72      else:
     73          sys.stderr.write ('usage: test_viterbi_equalization1.py Es/No_db  repetitions\n')
     74          sys.exit (1)
     75
     76      # system parameters
     77      Kb=2048  # packet size in bits
     78      modulation = fsm_utils.pam4 # see fsm_utlis.py for available predefined modulations
     79      channel = fsm_utils.c_channel # see fsm_utlis.py for available predefined test channels
     80      f=trellis.fsm(len(modulation[1]),len(channel)) # generate the FSM automatically
     81      bitspersymbol = int(round(math.log(f.I()) / math.log(2))) # bits per FSM input symbol
     82      K=Kb / bitspersymbol # packet size in trellis steps
     83
     84      tot_channel = fsm_utils.make_isi_lookup(modulation,channel,True) # generate the lookup table (normalize energy to 1)
     85      dimensionality = tot_channel[0]
     86      tot_constellation = tot_channel[1]
     87      N0=pow(10.0,-esn0_db / 10.0); # noise variance
     88      if len(tot_constellation) / dimensionality != f.O():
     89          sys.stderr.write ('Incompatible FSM output cardinality and lookup table size.\n')
     90          sys.exit (1)
     91
     92      tot_s=0 # total number of transmitted shorts
     93      terr_s=0 # total number of shorts in error
     94      terr_p=0 # total number of packets in error
     95
     96      for i in range(rep):
     97          (s,e)=run_test(f,Kb,bitspersymbol,K,channel,modulation,dimensionality,tot_constellation,N0,-int(666+i)) # run experiment with different seed to get different data and noise realizations
     98          tot_s=tot_s+s
     99          terr_s=terr_s+e
    100          terr_p=terr_p+(terr_s!=0)
    101          if ((i+1)%100==0) : # display progress
    102              print(i+1,terr_p, '%.2e' % ((1.0*terr_p) / (i+1)),tot_s,terr_s, '%.2e' % ((1.0*terr_s) / tot_s))
    103      # estimate of the (short or symbol) error rate
    104      print(rep,terr_p, '%.2e' % ((1.0*terr_p) / (i+1)),tot_s,terr_s, '%.2e' % ((1.0*terr_s) / tot_s))
    105
    106
    107  if __name__ == '__main__':
    108      main (sys.argv[1:])