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test_turpy.py
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from ConvTrellisDef import ConvTrellisDef
from Trellis import Trellis
from ConvEncoder import ConvEncoder
from ViterbiDecoder import ViterbiDecoder
from ConvEncoder import TurboEncoder
from SisoDecoder import SisoDecoder
from Interleaver import Interleaver
from TurboDecoder import TurboDecoder
import numpy as np
def test_scripts():
# test if the scripts run without error
# the output of the scripts is not checked
import ViterbiTest
ViterbiTest.main(20, False, False)
import TurboTest
block_size = 32
n_blocks = 1
TurboTest.main(block_size, n_blocks, False, False)
def test_turbo():
d = [1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1]
# parameters
gp_forward = [[1, 1, 0, 1]]
gp_feedback = [0, 0, 1, 1]
n_zp = 6
trellis_identity = Trellis(ConvTrellisDef([[1]]))
trellis_p = Trellis(ConvTrellisDef(gp_forward, gp_feedback))
# create interleaver instances
il = Interleaver()
il.gen_rand_perm(len(d))
# create encoder and decoder instances
trellises = [trellis_identity, trellis_p, trellis_p]
turboenc = TurboEncoder(trellises, il)
turboenc.n_zp = n_zp
csiso = SisoDecoder(trellis_p)
csiso.backward_init = False
td = TurboDecoder(il, csiso, csiso)
td.n_zp = n_zp
# encode
encoded_streams = turboenc.encode(d)
# check encoder
# systematic bits
zp = [0] * n_zp
assert d + zp == encoded_streams[0]
# parity bits 1
convenc = ConvEncoder(trellis_p)
e = convenc.encode(d + zp, False)
assert e == encoded_streams[1]
# parity bits 2
e = convenc.encode(il.interleave(d) + zp, False)
assert e == encoded_streams[2]
# introduce errors
e = np.array(turboenc.flatten(encoded_streams))
for i in range(0, len(e), 10):
e[i] = int(not (e[i]))
# to llr calculation
e = [2 * x - 1 for x in e]
# check decoder
[ys, yp1, yp2] = turboenc.extract(e) # extract streams
drx, errors = td.decode(ys, yp1, yp2, d)
assert d == drx
assert errors[-1] == 0
def test_interleaver():
N = 40
k1 = 3
k2 = 10
il = Interleaver()
# QPP interleaver
il.gen_qpp_perm_poly(N, k1, k2)
# check that deinterleave(interleave(x)) == x
d = list(range(N))
di = il.interleave(d)
did = il.deinterleave(di)
assert d[0] == di[0]
assert d[-1] != di[-1]
assert d == did
# random interleaver
il.gen_rand_perm(N)
di = il.interleave(d)
did = il.deinterleave(di)
assert d == did
def test_siso():
# encode
g = [[1, 0, 0], [1, 1, 1]]
d = [1, 0, 1, 0, 0, 1]
trellis = Trellis(ConvTrellisDef(g))
convenc = ConvEncoder(trellis)
e = convenc.encode(d, True)
# flip bits
e[1] = int(not (e[1]))
e[-1] = int(not (e[-1]))
# decode with siso decoder
convsiso = SisoDecoder(trellis)
n_stages = len(d) + trellis.tdef.K - 1
data_r, c = convsiso.decode([0] * n_stages, e, n_stages)
# compare outputs to reference
minf = convsiso.minus_inf
assert [2, -2, 2, -2, -2, 2, -1 + minf, minf] == data_r
assert [2, 2, -2, 2, 2, -2, -2, 2, -2, 2, 2, 2, -1 + minf, 2, minf, 2] == c
# make threshold and check correct decoding of message
data_r = convenc.remove_zero_termination(data_r)
data_r = list((np.array(data_r) > 0).astype(int)) # threshold
assert d == data_r
# reduction 2 = radix 4
trellisr2 = Trellis(ConvTrellisDef(g), 2)
convsiso = SisoDecoder(trellisr2)
data_r, c = convsiso.decode([0] * n_stages, e, n_stages)
# compare outputs to reference
minf = convsiso.minus_inf
assert [2, -2, 2, -2, -2, 2, -1 + minf, minf] == data_r
assert [2, 2, -2, 2, 2, -2, -2, 2, -2, 2, 2, 2, -1 + minf, 2, minf, 2] == c
def test_viterbi():
# no feedback
g = [[1, 0, 0], [1, 1, 1]]
d = [1, 0, 1, 0, 0, 1]
trellis = Trellis(ConvTrellisDef(g))
convenc = ConvEncoder(trellis)
e = convenc.encode(d, True)
# flip bits
e[1] = int(not (e[1]))
e[-1] = int(not (e[-1]))
# decode
viterbi = ViterbiDecoder(trellis)
data_r = viterbi.decode(e, len(d) + trellis.tdef.K - 1)
data_r = convenc.remove_zero_termination(data_r)
assert d == data_r
# decode with radix 16
reduction = 4
trellis = Trellis(ConvTrellisDef(g), reduction)
viterbi = ViterbiDecoder(trellis)
data_r = viterbi.decode(e, len(d) + trellis.tdef.K - 1)
data_r = convenc.remove_zero_termination(data_r)
assert d == data_r
# rate 1/3
g = [[1, 0, 0], [1, 1, 1], [1, 0, 1]]
trellis = Trellis(ConvTrellisDef(g))
convenc = ConvEncoder(trellis)
e = convenc.encode(d, True)
# flip bits
e[1] = int(not (e[1]))
e[-1] = int(not (e[-1]))
e[2] = int(not (e[2]))
# decode
viterbi = ViterbiDecoder(trellis)
data_r = viterbi.decode(e, len(d) + trellis.tdef.K - 1)
data_r = convenc.remove_zero_termination(data_r)
assert d == data_r
# with feedback, without termination
g = [[1, 0, 0], [1, 1, 1]]
fb = [0, 0, 1]
trellis = Trellis(ConvTrellisDef(g, fb))
convenc = ConvEncoder(trellis)
# no termination
e = convenc.encode(d, False)
# flip bits
e[1] = int(not (e[1]))
e[-1] = int(not (e[-1]))
# decode (viterbi decoder, not terminated)
viterbi = ViterbiDecoder(trellis)
viterbi.terminated = False
data_r = viterbi.decode(e, len(d))
assert d == data_r
def test_conv_enc():
g = [[1, 0, 0], [1, 1, 1]]
d = [1, 0, 1, 1, 0, 0]
# no feedback
trellis = Trellis(ConvTrellisDef(g))
convenc = ConvEncoder(trellis)
e = convenc.encode(d, False)
assert [1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1] == e
# with feedback
fb = [0, 0, 1]
trellis = Trellis(ConvTrellisDef(g, fb))
convenc = ConvEncoder(trellis)
e = convenc.encode(d, False)
assert [1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0] == e
# no feedback, radix 4 (reduction = 2)
reduction = 2
trellis = Trellis(ConvTrellisDef(g), reduction)
convenc = ConvEncoder(trellis)
e = convenc.encode(d, False)
assert [1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1] == e
# with feedback , radix 4 (reduction = 2)
fb = [0, 0, 1]
trellis = Trellis(ConvTrellisDef(g, fb), reduction)
convenc = ConvEncoder(trellis)
e = convenc.encode(d, False)
assert [1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0] == e
def test_conftrellisdef():
# non recursive code
g = [[1, 0, 0], [1, 1, 1]]
ctd = ConvTrellisDef(g)
rate = ctd.get_rate()
assert 2 == rate
# test next branches
b = ctd.get_next_branches(0)
assert 2 == len(b)
assert 0 == b[0]
assert 4 == b[1]
b = ctd.get_next_branches(1)
assert 2 == len(b)
assert 1 == b[0]
assert 5 == b[1]
# test next state
s = ctd.get_next_state(4)
assert 2 == s
s = ctd.get_next_state(2)
assert 1 == s
s = ctd.get_next_state(1)
assert 0 == s
# encoded bits
e = ctd.get_enc_bits(3)
assert [0, 0] == e
e = ctd.get_enc_bits(4)
assert [1, 1] == e
# data bits
d = ctd.get_dat(1)
assert [0] == d
d = ctd.get_dat(6)
assert [1] == d
# -----------------------------
# recursive code
g = [[1, 0, 0], [1, 1, 1]]
fb = [0, 0, 1]
ctd = ConvTrellisDef(g, fb)
# data bits
d = ctd.get_dat(6)
assert [1] == d
d = ctd.get_dat(4)
assert [1] == d
d = ctd.get_dat(5)
assert [0] == d
d = ctd.get_dat(7)
assert [0] == d
def test_trellis():
# non recursive code
g = [[1, 0, 0], [1, 1, 1]]
ct = Trellis(ConvTrellisDef(g))
rate = ct.get_rate()
assert 2 == rate
# test next branches
b = ct.get_next_branches_pc[0]
assert 2 == len(b)
assert 0 == b[0]
assert 4 == b[1]
b = ct.get_next_branches_pc[1]
assert 2 == len(b)
assert 1 == b[0]
assert 5 == b[1]
# test next state
s = ct.get_next_state_pc[4]
assert 2 == s
s = ct.get_next_state_pc[2]
assert 1 == s
s = ct.get_next_state_pc[1]
assert 0 == s
# encoded bits
e = ct.get_enc_bits_pc[3]
assert [0, 0] == e
e = ct.get_enc_bits_pc[4]
assert [1, 1] == e
# data bits
d = ct.get_dat_pc[1]
assert [0] == d
d = ct.get_dat_pc[6]
assert [1] == d
# -----------------------------
# recursive code
g = [[1, 0, 0], [1, 1, 1]]
fb = [0, 0, 1]
ct = Trellis(ConvTrellisDef(g, fb))
# data bits
d = ct.get_dat_pc[6]
assert [1] == d
d = ct.get_dat_pc[4]
assert [1] == d
d = ct.get_dat_pc[5]
assert [0] == d
d = ct.get_dat_pc[7]
assert [0] == d