An Improved Wavelet Denoising Method Based on Acoustic Echo Analysis

Acoustic echo detection is a method of echo analysis using active acoustic signal. There are a lot of same frequency noises in the echo, the acoustic imaging quality is poor, and the detection effect is greatly affected. The traditional noise reduction methods have some problems, such as poor suppression effect of same frequency noise and so on. In this paper, the characteristics of signal and noise are studied by using the collected target echo information and analyzing the echo of target position. The improved threshold wavelet denoising method is proposed, and the segmented threshold denoising is carried out according to the signal-to-noise ratio. After echo denoising, the full matrix imaging based on Hilbert transform is applied to target detection and analysis, and the imaging effect is obvious. The experimental results show that the improved wavelet denoising method greatly improves the echo signal-to-noise ratio and the relative identification of target position.