Wiener Modeling of Phase Noise
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This text discusses Wiener modeling of phase noise, where we can elaborate on the details of this modeling approach and explain its significance. Phase noise is a type of noise that affects signal quality by introducing errors during signal transmission. Through Wiener modeling, we can better understand the impact of phase noise on signals and achieve more effective control over it. This subroutine for adding phase noise typically implements a Wiener process algorithm using techniques like random walk generation or filtered Gaussian noise to simulate phase variations. The implementation often involves calculating phase increments at each time step and applying them to the signal's phase component using complex exponential operations. This approach is crucial as it helps us better comprehend and manage noise issues in signal transmission systems, particularly in communications and radar applications where phase stability is critical.
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