A New Method for Denoising Underwater Acoustic Signals Based on EEMD,Correlation Coefficient,Permutation Entropy,and Wavelet Threshold Denoising

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外文摘要：The complexities of the marine environment and the unique characteristics of underwater channels pose challenges in obtaining reliable signals underwater,necessitating the filtration of underwater acoustic noise.Herein,an underwater acoustic signal denoising method based on ensemble empirical mode decomposition(EEMD),correlation coefficient(CC),permutation entropy(PE),and wavelet threshold denoising(WTD)is proposed.Furthermore,simulation experiments are conducted using simulated and real underwater acoustic data.The experimental results reveal that the proposed denoising method outperforms other previous methods in terms of signal-to-noise ratio,root mean square error,and CC.The proposed method eliminates noise and retains valuable information in the signal.

外文关键词：

Ensemble empirical mode decompositionCorrelation coefficientPermutation entropyWavelet threshold denoisingUnderwater acoustic signal denoising

作者：

Yuyan Zhang、Zhixia Yang、Xiaoli Du、Xiaoyuan Luo

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作者单位：

Department of Instrument Science and Technology,Yanshan University,Qinhuangdao 066000,China

Department of Control Science and Engineering,Yanshan University,Qinhuangdao 066000,China

基金：

National Natural Science Foundation of ChinaScience and Technology Project of Hebei ProvinceScience and Technology Project of Hebei Province

项目编号：

62033011216Z1704G20310401D

出版年：

2024

DOI：

10.1007/s11804-024-00386

哈尔滨工程大学学报(英文版)

哈尔滨工程大学

哈尔滨工程大学学报(英文版)

CSTPCD

影响因子：0.381

ISSN：1671-9433

年,卷(期)：2024.23(1)

参考文献量39