Created
March 27, 2025 04:23
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import numpy as np | |
NFFT = 16 | |
NCP = 4 | |
# Generate QPSK symbols | |
symbols = np.sign(np.random.randn(NFFT)) + 1j * np.sign(np.random.randn(NFFT)) | |
# LTI channel | |
# Generate h according to a power delay profile | |
# h = [h_0, h_1, h_2] | |
# h_0 = sqrt(var0) * (randn + 1j * randn / 2) | |
# h_1 = sqrt(var1) * (randn + 1j * randn / 2) | |
# Power delay profile = [1, 0.5, 0.25] | |
h = [0.4 + 0.3j, 0.2 - 0.1j, 0.1 + 0.05j] | |
# Take IDFT | |
x = np.fft.ifft(symbols) | |
# Add cyclic prefix | |
x_cp = np.concatenate([x[-NCP:], x]) | |
# Perform linear convolution | |
y_recv = np.convolve(h, x_cp) | |
y = y_recv[NCP:NFFT+NCP] | |
# Take FFT | |
Y = np.fft.fft(y) | |
# Recover symbols by zero forcing | |
x_hat = Y / np.fft.fft(h, NFFT) | |
print(np.max(np.abs(x_hat - symbols))) |
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