An LMS-Mallat denoising method based on new energy grid-connected power line communication is proposed

In the new energy grid connection, the broadband power line carrier frequency band coincides with some radio communications, which will generate a large amount of power line conduction interference and space radiation, seriously polluting the broadband carrier communication channel. In order to further improve the processing ability of broadband power line carrier noise in new energy grid-connected, this paper proposes an LMS-Mallat denoising method based on new energy gridconnected power line communication. Experimental results show that the signal-to-noise ratio (SNR) of the proposed algorithm is 4.36 dB higher than that of adaptive threshold denoising, and the mean square error (MSE) is about $63.36 \%$ on average The algorithm in this paper is simple in calculation and has better denoising effect. It can not only remove noise while retaining the main features, but also improve the accuracy and make the broadband carrier adapt to the bit error rate of the broadband power line communication system in the complex power line new energy grid-connected with wireless interference and space radiation.