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.
作者
张玉燕
杨志霞
杜晓莉
罗小元
Yuyan Zhang;Zhixia Yang;Xiaoli Du;Xiaoyuan Luo(Department of Instrument Science and Technology,Yanshan University,Qinhuangdao 066000,China;Department of Control Science and Engineering,Yanshan University,Qinhuangdao 066000,China)
出处
《哈尔滨工程大学学报（英文版）》
CSCD
2024年第1期222-237,共16页
Journal of Marine Science and Application
基金
Supported by the National Natural Science Foundation of China(No.62033011)
Science and Technology Project of Hebei Province(No.216Z1704G,No.20310401D)。
