An Enhanced Impulsive Noise Suppression Method Based on Wavelet Denoising and ICA for Power Line Communication

Aiming at the problem of noise suppression in power lines, traditional methods need to know prior knowledge and other defects. In this paper, blind source separation that do not are selected. case low signal-to-noise ratio, basic independent component analysis algorithm has poor denoising effect. Therefore, paper proposes a joint based on Wavelet Power (WD-PowerICA). work, firstly, pseudo observation signal is constructed by weighted processing, model single channel transformed into multi-channel determined model. Then, proposed WD-PowerICA used separate signals. Finally, simulation results demonstrate can effectively under SNR. At same time, stronger α pulse is, closer separated signal. The better than state art PowerICA algorithm.