Adaptive Filtering Technology for Background Noise in Network Communication
Aiming at the problem that background noise in network communication can affect signal transmission quality,an optimization method based on adaptive Kalman filter is studied.Firstly,analyze the generation mechanism and characteristics of background noise in network communication.Secondly,an improved adaptive Kalman filtering algorithm is proposed to address the limitations of traditional Kalman filtering in noise suppression.Finally,a bus communication model was constructed using the NS-3 simulation tool,and the proposed method was used to process and analyze the signals.The experimental results show that the signal-to-noise ratio and mean square error of this method are superior to traditional Kalman filters,and can more accurately restore the characteristics of the original signal.
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