| 1 |
7 |
dbrochart |
######################################################################
|
| 2 |
|
|
#### ####
|
| 3 |
|
|
#### sova.py ####
|
| 4 |
|
|
#### ####
|
| 5 |
|
|
#### This file is part of the turbo decoder IP core project ####
|
| 6 |
|
|
#### http://www.opencores.org/projects/turbocodes/ ####
|
| 7 |
|
|
#### ####
|
| 8 |
|
|
#### Author(s): ####
|
| 9 |
|
|
#### - David Brochart(dbrochart@opencores.org) ####
|
| 10 |
|
|
#### ####
|
| 11 |
|
|
#### All additional information is available in the README.txt ####
|
| 12 |
|
|
#### file. ####
|
| 13 |
|
|
#### ####
|
| 14 |
|
|
######################################################################
|
| 15 |
|
|
#### ####
|
| 16 |
|
|
#### Copyright (C) 2005 Authors ####
|
| 17 |
|
|
#### ####
|
| 18 |
|
|
#### This source file may be used and distributed without ####
|
| 19 |
|
|
#### restriction provided that this copyright statement is not ####
|
| 20 |
|
|
#### removed from the file and that any derivative work contains ####
|
| 21 |
|
|
#### the original copyright notice and the associated disclaimer. ####
|
| 22 |
|
|
#### ####
|
| 23 |
|
|
#### This source file is free software; you can redistribute it ####
|
| 24 |
|
|
#### and/or modify it under the terms of the GNU Lesser General ####
|
| 25 |
|
|
#### Public License as published by the Free Software Foundation; ####
|
| 26 |
|
|
#### either version 2.1 of the License, or (at your option) any ####
|
| 27 |
|
|
#### later version. ####
|
| 28 |
|
|
#### ####
|
| 29 |
|
|
#### This source is distributed in the hope that it will be ####
|
| 30 |
|
|
#### useful, but WITHOUT ANY WARRANTY; without even the implied ####
|
| 31 |
|
|
#### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ####
|
| 32 |
|
|
#### PURPOSE. See the GNU Lesser General Public License for more ####
|
| 33 |
|
|
#### details. ####
|
| 34 |
|
|
#### ####
|
| 35 |
|
|
#### You should have received a copy of the GNU Lesser General ####
|
| 36 |
|
|
#### Public License along with this source; if not, download it ####
|
| 37 |
|
|
#### from http://www.opencores.org/lgpl.shtml ####
|
| 38 |
|
|
#### ####
|
| 39 |
|
|
######################################################################
|
| 40 |
|
|
|
| 41 |
|
|
|
| 42 |
|
|
|
| 43 |
|
|
from extInf import extInf
|
| 44 |
|
|
from misc import delayer
|
| 45 |
|
|
from trellis import trellis1, trellis2
|
| 46 |
|
|
from acs import acs
|
| 47 |
|
|
from myhdl import Signal, intbv, instances
|
| 48 |
|
|
|
| 49 |
|
|
def sova(clk, rst, aNoisy, bNoisy, y1Noisy, y2Noisy, zin, zout, aClean, bClean, l = 20, m = 10, q = 8, r = 5, n = 4):
|
| 50 |
|
|
""" Soft Output Viterbi Algorithm top level.
|
| 51 |
|
|
|
| 52 |
|
|
l -- first trellis length
|
| 53 |
|
|
m -- second trellis length
|
| 54 |
|
|
q -- accumulated distance width
|
| 55 |
|
|
r -- extrinsic information width
|
| 56 |
|
|
n -- systematic data width
|
| 57 |
|
|
clk, rst -- in : clock and negative reset
|
| 58 |
|
|
aNoisy, bNoisy, y1Noisy, y2Noisy -- in : received decoder signals
|
| 59 |
|
|
zin -- in : extrinsic information input
|
| 60 |
|
|
zout -- out : extrinsic information output
|
| 61 |
|
|
aClean, bClean -- out : decoded systematic data
|
| 62 |
|
|
|
| 63 |
|
|
"""
|
| 64 |
|
|
selStateL2 = Signal(intbv(0, 0, 8))
|
| 65 |
|
|
selStateL1 = Signal(intbv(0, 0, 8))
|
| 66 |
|
|
selTransL2 = Signal(intbv(0, 0, 4))
|
| 67 |
|
|
selTrans = [Signal(intbv(0, 0, 4)) for i in range(8)]
|
| 68 |
|
|
selState = Signal(intbv(0, 0, 8))
|
| 69 |
|
|
weight = [Signal(intbv(0, 0, 2**q)) for i in range(4)]
|
| 70 |
|
|
selTransL1 = [Signal(intbv(0, 0, 4)) for i in range(8)]
|
| 71 |
|
|
zinDel = [Signal(intbv(0, 0, 2**r)) for i in range(4)]
|
| 72 |
|
|
stateL1 = [Signal(intbv(0, 0, 8)) for i in range(4)]
|
| 73 |
|
|
llr0 = Signal(intbv(0, 0, 2**q))
|
| 74 |
|
|
llr1 = Signal(intbv(0, 0, 2**q))
|
| 75 |
|
|
llr2 = Signal(intbv(0, 0, 2**q))
|
| 76 |
|
|
llr3 = Signal(intbv(0, 0, 2**q))
|
| 77 |
|
|
aNoisyDel = Signal(intbv(0, -(2**(n-1)), 2**(n-1)))
|
| 78 |
|
|
bNoisyDel = Signal(intbv(0, -(2**(n-1)), 2**(n-1)))
|
| 79 |
|
|
|
| 80 |
|
|
delayer_i = [None for i in range(12)]
|
| 81 |
|
|
acs_i0 = acs(clk, rst, aNoisy, bNoisy, y1Noisy, y2Noisy, zin, selStateL2, selTransL2, selState, selTrans, weight, q, l, n, r)
|
| 82 |
|
|
trellis1_i0 = trellis1(clk, rst, selState, selTrans, selStateL2, selStateL1, stateL1, selTransL2, l)
|
| 83 |
|
|
trellis2_i0 = trellis2(clk, rst, selStateL1, stateL1, selTransL1, weight, llr0, llr1, llr2, llr3, aClean, bClean, m, q)
|
| 84 |
|
|
for i in range(8):
|
| 85 |
|
|
delayer_i[i] = delayer(clk, rst, selTrans[i], selTransL1[i], l - 1, 0, 2**2)
|
| 86 |
|
|
for i in range(4):
|
| 87 |
|
|
delayer_i[i + 8] = delayer(clk, rst, zin[i], zinDel[i], l + m, 0, 2**r)
|
| 88 |
|
|
delayer_i0 = delayer(clk, rst, aNoisy, aNoisyDel, l + m, -(2**(n-1)), 2**(n-1))
|
| 89 |
|
|
delayer_i1 = delayer(clk, rst, bNoisy, bNoisyDel, l + m, -(2**(n-1)), 2**(n-1))
|
| 90 |
|
|
extInf_i0 = extInf(llr0, llr1, llr2, llr3, zinDel, aNoisyDel, bNoisyDel, zout, r, n, q)
|
| 91 |
|
|
|
| 92 |
|
|
return delayer_i0, delayer_i1, extInf_i0, trellis1_i0, trellis2_i0, acs_i0, delayer_i
|
