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《Journal of Applied Acoustics》 2019-06
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Wavelet packet node segmental threshold denoising for underwater acoustic monitoring

ZHAO Jie;YANG Ying;HUI Li;WANG Zhi;CHU Shibo;LIU Maoke;Qilu University of Technology Shandong Academy of Sciences;Institute of oceanographic Instrmentation Shandong Academy of Sciences, Shandong Provincial Key Laboratory of Ocean Environmental Monitoring Technology;National Engineering and Technological Research Center of Marine Monitoring Equipment;  
Underwater acoustic target signal is easy to be affected by environmental noise and system self-noise in the process of transmitting and receiving. The target signal will be doped with a lot of noise information in underwater acoustic monitoring. In order to reduce noise interference and improve the accuracy and reliability of acquiring target signal, the relative energy criterion of wavelet packet nodes is proposed based on the existing wavelet analysis. The target signals are de-noised and extracted respectively from 0.1 kHz to 8.4 kHz in thefive frequency bands of the underwater acoustic monitoring experimental data. The results show that the noise band signal can be effectively separated from the target signal band by node segmentation threshold processing.Compared with the global single threshold wavelet method, it has good separation and noise reduction ability.This method breaks the limitation of wavelet threshold denoising in high frequency processing, improves the recognition accuracy, and effectively overcomes the shortcomings of global single threshold rule denoising.It has good popularization and application value in marine biology investigation, ship recognition, deep-sea exploration, etc.
【Fund】: 山东省自然科学基金资助项目(ZR2018LD008);; 国家重点研发计划重点专项(2016YFC1400403);; 青岛市市南区科技发展计划项目(2016-2-012-ZH)
【CateGory Index】: TB56
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