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Cyclic Beam Direction of Arrival Estimation Method for Ship Propeller Noise

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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 sup-pressing 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.

cyclostationaritydirection of arrivalextended wideband spectral cyclic musiccyclic covariance matrix

ZHANG Xiaowei、NIE Weihang、XU Ji、YAN Yonghong

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The Key Laboratory of Speech Acoustics and Content Understanding,Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China

The Key Laboratory of Speech Acoustics and Content Understanding,Institute of Acoustics,University of Chinese Academy of Sciences,Beijing 100049,China

The State Key Laboratory of Acoustics,Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China

IOA Frontier Exploration ProjectYouth Innovation Promotion Association CAS

ZYTS202001

2024

中国海洋大学学报(自然科学英文版)
中国海洋大学

中国海洋大学学报(自然科学英文版)

CSTPCD
影响因子:0.268
ISSN:1672-5182
年,卷(期):2024.23(4)
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