基于黎曼距离的深海短垂直阵列被动宽带源定位

Passive broadband source localization based on a Riemannian distance with a short vertical array in the deep ocean.

作者信息

Cao Ran, Yang Kunde, Ma Yuanliang, Yang Qiulong, Shi Yang

机构信息

School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072,

出版信息

J Acoust Soc Am. 2019 Jun;145(6):EL567. doi: 10.1121/1.5111971.

DOI:10.1121/1.5111971

PMID:31255125

Abstract

A passive broadband source localization approach in the deep ocean is proposed based on the coherent matched-field processing combined with a Riemannian distance. The spatial coherence between hydrophones over frequency bandwidth is utilized for eliminating the unknown source spectrum. Three Riemannian distances are introduced for the measurement of the similarity between the data and replica matrices. The experimental results indicate that the proposed processors with a short array can effectively suppress the sidelobe and improve the localization performance. The source localization influenced by the factors such as the aperture, number of hydrophones, and desired bandwidth is also demonstrated.

摘要

提出了一种基于相干匹配场处理与黎曼距离相结合的深海无源宽带源定位方法。利用水听器在频率带宽上的空间相干性来消除未知源谱。引入了三种黎曼距离来测量数据矩阵和副本矩阵之间的相似度。实验结果表明，所提出的短阵列处理器能够有效抑制旁瓣并提高定位性能。还展示了孔径、水听器数量和期望带宽等因素对源定位的影响。