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https://github.com/romanz/amodem.git
synced 2026-04-05 12:16:24 +08:00
refactor equalizer to use original signal, instead of symbols
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@@ -34,7 +34,7 @@ def demodulator(signal, size):
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return np.array(list(itertools.islice(symbols, size)))
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return np.array(list(itertools.islice(symbols, size)))
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def equalize(signal, symbols, order, lookahead=0):
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def equalize_symbols(signal, symbols, order, lookahead=0):
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Nsym = config.Nsym
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Nsym = config.Nsym
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Nfreq = config.Nfreq
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Nfreq = config.Nfreq
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carriers = modem.carriers
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carriers = modem.carriers
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@@ -50,14 +50,12 @@ def equalize(signal, symbols, order, lookahead=0):
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A = []
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A = []
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b = []
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b = []
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index = 0
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for j in range(Nfreq):
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for j in range(Nfreq):
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for i in range(length):
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for i in range(length):
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offset = (i+1)*Nsym
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offset = (i+1)*Nsym
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row = y[offset-order:offset+lookahead, j]
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row = y[offset-order:offset+lookahead, j]
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A.append(row)
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A.append(row)
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b.append(symbols[i, j])
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b.append(symbols[i, j])
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index += 1
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A = np.array(A)
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A = np.array(A)
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b = np.array(b)
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b = np.array(b)
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@@ -65,3 +63,23 @@ def equalize(signal, symbols, order, lookahead=0):
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h = h[::-1].real
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h = h[::-1].real
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return h
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return h
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def equalize_signal(signal, expected, order, lookahead=0):
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signal = np.concatenate([np.zeros(order-1), signal, np.zeros(lookahead)])
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length = len(expected)
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A = []
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b = []
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for i in range(length - order):
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offset = order + i
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row = signal[offset-order:offset+lookahead]
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A.append(np.array(row, ndmin=2))
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b.append(expected[i])
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A = np.concatenate(A, axis=0)
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b = np.array(b)
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h, residuals, rank, sv = lstsq(A, b)
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h = h[::-1].real
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return h
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@@ -133,7 +133,7 @@ class Receiver(object):
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signal = sampler.take(signal_length + lookahead)
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signal = sampler.take(signal_length + lookahead)
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coeffs = equalizer.equalize(
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coeffs = equalizer.equalize_symbols(
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signal=signal[prefix:-postfix],
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signal=signal[prefix:-postfix],
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symbols=train_symbols,
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symbols=train_symbols,
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order=order, lookahead=lookahead
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order=order, lookahead=lookahead
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@@ -1,4 +1,5 @@
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from numpy.linalg import norm
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from numpy.linalg import norm
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from numpy.random import RandomState
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import numpy as np
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import numpy as np
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from amodem import dsp
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from amodem import dsp
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@@ -41,7 +42,7 @@ def test_modem():
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assert_approx(sent, received)
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assert_approx(sent, received)
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def test_isi():
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def test_symbols():
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length = 100
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length = 100
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gain = float(config.Nfreq)
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gain = float(config.Nfreq)
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@@ -54,10 +55,31 @@ def test_isi():
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y = dsp.lfilter(x=x, b=num, a=den)
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y = dsp.lfilter(x=x, b=num, a=den)
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lookahead = 2
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lookahead = 2
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h = equalizer.equalize(y, symbols, order=len(den), lookahead=lookahead)
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h = equalizer.equalize_symbols(
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signal=y, symbols=symbols, order=len(den), lookahead=lookahead
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)
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assert norm(h[:lookahead]) < 1e-12
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assert norm(h[:lookahead]) < 1e-12
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assert_approx(h[lookahead:], den / num)
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assert_approx(h[lookahead:], den / num)
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y = dsp.lfilter(x=y, b=h[lookahead:], a=[1])
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y = dsp.lfilter(x=y, b=h[lookahead:], a=[1])
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z = equalizer.demodulator(y, size=length)
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z = equalizer.demodulator(y, size=length)
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assert_approx(z, symbols)
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assert_approx(z, symbols)
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def test_signal():
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length = 100
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x = np.sign(RandomState(0).normal(size=length))
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den = np.array([1, -0.6, 0.1])
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num = np.array([0.5])
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y = dsp.lfilter(x=x, b=num, a=den)
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lookahead = 2
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h = equalizer.equalize_signal(
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signal=y, expected=x, order=len(den), lookahead=lookahead)
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assert norm(h[:lookahead]) < 1e-12
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h = h[lookahead:]
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assert_approx(h, den / num)
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x_ = dsp.lfilter(x=y, b=h, a=[1])
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assert_approx(x_, x)
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