Cyclic Beam Direction of Arrival Estimation Method for Ship Propeller Noise  

作　　者：ZHANG Xiaowei NIE Weihang XU Ji YAN Yonghong 

机构地区：[1]The Key Laboratory of Speech Acoustics and Content Understanding,Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China [2]The Key Laboratory of Speech Acoustics and Content Understanding,Institute of Acoustics,University of Chinese Academy of Sciences,Beijing 100049,China [3]The State Key Laboratory of Acoustics,Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China

出　　处：《Journal of Ocean University of China》2024年第4期883-896,共14页中国海洋大学学报（英文版）

基　　金：supported by the IOA Frontier Exploration Project (No.ZYTS202001);the Youth Innovation Promotion Association CAS。

摘　　要：In underwater acoustic applications,the conventional cyclic direction of arrival algorithm faces challenges,including a low signal-to-noise ratio and high bandwidth when compared with modulated frequencies.In response to these issues,this paper introduces a novel,robust,and broadband cyclic beamforming algorithm.The proposed method substitutes the conventional cyclic covariance matrix with the variance of the cyclic covariance matrix as its primary feature.Assuming that the same frequency band shares a common steering vector,the new algorithm achieves superior detection performance for targets with specific modulation frequencies while suppressing interference signals and background noise.Experimental results demonstrate a significant enhancement in the directibity index by 81%and 181%when compared with the traditional Capon beamforming algorithm and the traditional extended wideband spectral cyclic MUSIC(EWSCM)algorithm,respectively.Moreover,the proposed algorithm substantially reduces computational complexity to 1/40th of that of the EWSCM algorithm,employing frequency band statistical averaging and covariance matrix variance.

关 键 词：CYCLOSTATIONARITY direction of arrival extended wideband spectral cyclic music cyclic covariance matrix 

分 类 号：U674.7[交通运输工程—船舶及航道工程]