refactor equalizer to use original signal, instead of symbols

This commit is contained in:
Roman Zeyde
2014-09-05 11:19:09 +03:00
parent 4b01b8f465
commit 443dbf99ab
3 changed files with 46 additions and 6 deletions

View File

@@ -34,7 +34,7 @@ def demodulator(signal, size):
return np.array(list(itertools.islice(symbols, size))) return np.array(list(itertools.islice(symbols, size)))
def equalize(signal, symbols, order, lookahead=0): def equalize_symbols(signal, symbols, order, lookahead=0):
Nsym = config.Nsym Nsym = config.Nsym
Nfreq = config.Nfreq Nfreq = config.Nfreq
carriers = modem.carriers carriers = modem.carriers
@@ -50,14 +50,12 @@ def equalize(signal, symbols, order, lookahead=0):
A = [] A = []
b = [] b = []
index = 0
for j in range(Nfreq): for j in range(Nfreq):
for i in range(length): for i in range(length):
offset = (i+1)*Nsym offset = (i+1)*Nsym
row = y[offset-order:offset+lookahead, j] row = y[offset-order:offset+lookahead, j]
A.append(row) A.append(row)
b.append(symbols[i, j]) b.append(symbols[i, j])
index += 1
A = np.array(A) A = np.array(A)
b = np.array(b) b = np.array(b)
@@ -65,3 +63,23 @@ def equalize(signal, symbols, order, lookahead=0):
h = h[::-1].real h = h[::-1].real
return h return h
def equalize_signal(signal, expected, order, lookahead=0):
signal = np.concatenate([np.zeros(order-1), signal, np.zeros(lookahead)])
length = len(expected)
A = []
b = []
for i in range(length - order):
offset = order + i
row = signal[offset-order:offset+lookahead]
A.append(np.array(row, ndmin=2))
b.append(expected[i])
A = np.concatenate(A, axis=0)
b = np.array(b)
h, residuals, rank, sv = lstsq(A, b)
h = h[::-1].real
return h

View File

@@ -133,7 +133,7 @@ class Receiver(object):
signal = sampler.take(signal_length + lookahead) signal = sampler.take(signal_length + lookahead)
coeffs = equalizer.equalize( coeffs = equalizer.equalize_symbols(
signal=signal[prefix:-postfix], signal=signal[prefix:-postfix],
symbols=train_symbols, symbols=train_symbols,
order=order, lookahead=lookahead order=order, lookahead=lookahead

View File

@@ -1,4 +1,5 @@
from numpy.linalg import norm from numpy.linalg import norm
from numpy.random import RandomState
import numpy as np import numpy as np
from amodem import dsp from amodem import dsp
@@ -41,7 +42,7 @@ def test_modem():
assert_approx(sent, received) assert_approx(sent, received)
def test_isi(): def test_symbols():
length = 100 length = 100
gain = float(config.Nfreq) gain = float(config.Nfreq)
@@ -54,10 +55,31 @@ def test_isi():
y = dsp.lfilter(x=x, b=num, a=den) y = dsp.lfilter(x=x, b=num, a=den)
lookahead = 2 lookahead = 2
h = equalizer.equalize(y, symbols, order=len(den), lookahead=lookahead) h = equalizer.equalize_symbols(
signal=y, symbols=symbols, order=len(den), lookahead=lookahead
)
assert norm(h[:lookahead]) < 1e-12 assert norm(h[:lookahead]) < 1e-12
assert_approx(h[lookahead:], den / num) assert_approx(h[lookahead:], den / num)
y = dsp.lfilter(x=y, b=h[lookahead:], a=[1]) y = dsp.lfilter(x=y, b=h[lookahead:], a=[1])
z = equalizer.demodulator(y, size=length) z = equalizer.demodulator(y, size=length)
assert_approx(z, symbols) assert_approx(z, symbols)
def test_signal():
length = 100
x = np.sign(RandomState(0).normal(size=length))
den = np.array([1, -0.6, 0.1])
num = np.array([0.5])
y = dsp.lfilter(x=x, b=num, a=den)
lookahead = 2
h = equalizer.equalize_signal(
signal=y, expected=x, order=len(den), lookahead=lookahead)
assert norm(h[:lookahead]) < 1e-12
h = h[lookahead:]
assert_approx(h, den / num)
x_ = dsp.lfilter(x=y, b=h, a=[1])
assert_approx(x_, x)