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作 者:叶昱清 丁军航[1,3] 叶宁祁 官晟 YE Yuqing;DING Junhang;YE Ningqi;GUAN Sheng(School of Automation,Qingdao University,Qingdao 266071,China;First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China;Shandong Key Laboratory of Industrial Control Technology,Qingdao 266071,China;Key Laboratory of Marine Science and Numerical Modeling,Ministry of Natural Resources,Qingdao 266061,China;Shandong Key Laboratory of Marine Science and Numerical Modeling,Qingdao 266061,China;Laboratory of Regional Oceanography and Numerical Modeling,Pilot National Laboratory of Marine Science and Technology,Qingdao 266237,China)
机构地区:[1]青岛大学自动化学院,山东青岛266071 [2]自然资源部第一海洋研究所,山东青岛266061 [3]山东省工业控制技术重点实验室,山东青岛266071 [4]自然资源部海洋环境科学与数值模拟重点实验室,山东青岛266061 [5]山东省海洋环境科学与数值模拟重点实验室,山东青岛266061 [6]青岛海洋科学与技术试点国家实验室区域海洋动力学与数值模拟功能实验室,山东青岛266237
出 处:《电子设计工程》2023年第21期7-12,共6页Electronic Design Engineering
基 金:2020年山东省自然科学基金重点项目(ZR2020KF034)。
摘 要:针对船舶声信号降噪滤波的问题,提出了一种基于经验模态分解-归一最小均方的算法。该方法进行经验模态分解得出噪声分量,将得到的噪声分量作为输入信号进行自适应滤波,通过自适应滤波算法迭代处理得到降噪后的信号分量,并把信号分量叠加得到最终降噪后的信号。通过对比最小均方算法、归一化最小均方算法、经验模态分解-最小均方算法和经验模态分解-归一最小均方算法对船舶声信号的降噪效果,得出在船舶声信号滤波降噪方面经验模态分解-归一最小均方算法相比于其他三种算法有更好的滤波效果。Aiming at the problem of noise reduction and filtering of ship acoustic signals,this paper proposes a method based on Empirical Mode Decomposition-Normalized Least Mean Square algorithm.In this method,the noise component is obtained by Empirical Mode Decomposition,and the noise component is used as the input signal for adaptive filtering.The denoised signal component is obtained by iterative processing of the adaptive algorithm,and the final denoised signal is obtained by superposition of the signal components.By comparing the noise reduction effects of Least Mean Square algorithm,the Normalized Least Mean Square algorithm,the Empirical Mode Decomposition-Least Mean Square algorithm and the Empirical Mode Decomposition Normalized Least Mean Square algorithm on ship acoustic signals,it is concluded that the Empirical Mode Decomposition Normalized Least Mean Square algorithm has better filtering effect than the other three methods in terms of ship acoustic signal filtering and noise reduction.
分 类 号:TN912.35[电子电信—通信与信息系统]
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