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Enhancement of underwater acoustic signal based on denoising automatic-encoder
Authors:Jingwei YIN  Wuxiong LUO  Li LI  Xiao HAN  Longxiang GUO  Jianfeng WANG
Affiliation:1. College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China;2. China Institute of Marine Technology and Economy,Beijing 100081,China
Abstract:Aiming at the difficulty of feature extraction of echo signal in active sonar,a self-encoder algorithm based on the combination of denoising self-encoder and convolution denoising self-encoder was proposed.Firstly,the preprocessing of noisy signal was carried out by using the advantage of denoising self-encoder in signal as a whole,and then the local feature of signal was optimized by combining convolutional denoising self-encoder to denoise the signal locally,so as to enhance the signal.The time domain waveform of the received signal is used as the feature input by the algorithm,and retains the signal’s amplitude and phase characteristics.The experimental results show that the algorithm not only effectively reduces the noise component in the signal,but also achieves better recovery effect in both time and frequency domains.
Keywords:LFM  denoising automatic-encoder  convolution denoising automatic-encoder  signal enhancement  
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