Extraction of Acoustic Normal Mode Depth Functions Using Range-Difference Method with Vertical Linear Array Data  

作　　者：GAO Siyu LI Weilu ZHANG Yinquan LI Xiaolei WANG Ning 

机构地区：[1]College of Marine Technology,Ocean University of China,Qingdao 266100,China [2]National Marine Data and Information Service,Tianjin 300171,China

出　　处：《Journal of Ocean University of China》2024年第4期871-882,共12页中国海洋大学学报（英文版）

基　　金：supported in part by the Young Scientists Fund of National Natural Science Foundation of China (No.42206226);the National Key Research and Development Program of China (No.2021YFC3101603)。

摘　　要：Data-derived normal mode extraction is an effective method for extracting normal mode depth functions in the absence of marine environmental data.However,when the corresponding singular vectors become nonunique when two or more singular values obtained from the cross-spectral density matrix diagonalization are nearly equal,this results in unsatisfactory extraction outcomes for the normal mode depth functions.To address this issue,we introduced in this paper a range-difference singular value decomposition method for the extraction of normal mode depth functions.We performed the mode extraction by conducting singular value decomposition on the individual frequency components of the signal's cross-spectral density matrix.This was achieved by using pressure and its range-difference matrices constructed from vertical line array data.The proposed method was validated using simulated data.In addition,modes were successfully extracted from ambient noise.

关 键 词：range difference depth function extraction normal mode 

分 类 号：P733.2[天文地球—物理海洋学]