Journal on Communications ›› 2019, Vol. 40 ›› Issue (10): 119-126.doi: 10.11959/j.issn.1000-436x.2019181

• Papers • Previous Articles     Next Articles

Enhancement of underwater acoustic signal based on denoising automatic-encoder

Jingwei YIN1, Wuxiong LUO1, Li LI1, Xiao HAN1, Longxiang GUO1, Jianfeng WANG2   

  1. 1 College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China
    2 China Institute of Marine Technology and Economy,Beijing 100081,China
  • Revised:2019-06-24 Online:2019-10-25 Published:2019-11-07
  • Supported by:
    The National Natural Science Foundation of China(51779061);The Fok Ying-Tong Education Foundation of China(151007);The Natural Science Funds for Distinguished Young Scholar of Heilongjiang Province(JC2017017)

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.

Key words: LFM, denoising automatic-encoder, convolution denoising automatic-encoder, signal enhancement

CLC Number: 

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