不同DOA算法在水声信号中的应用对比分析  

Comparative analysis of application of different DOA algorithms in underwater acoustic signals

作　　者：陆虹宇 李晓曼 陈鸿运 邢传玺[2] LU Hong-yu;LI Xiao-man;CHEN Hong-yun;XING Chuan-xi(Jiangsu University Of Science And Technology,Ocean Academy,Zhenjiang 212100,China;Yunnan Nationalities University,School of Electrical and Information Engineering,Kunming 650500,China)

机构地区：[1]江苏科技大学海洋学院,江苏镇江212100 [2]云南民族大学电气信息工程学院,云南昆明650500

出　　处：《云南民族大学学报（自然科学版）》2024年第4期486-495,共10页Journal of Yunnan Minzu University:Natural Sciences Edition

基　　金：江苏省高等学校基础科学研究项目(21KJD140001).

摘　　要：波达方向估计(DOA)是阵列信号处理领域一个探究的重点,也是水声领域常用的定位方法之一.其中最为经典的就是常规波束形成算法(CBF)、多重信号分类算法(MUSIC)和旋转不变子空间算法(ESPRIT)等.基于水声信道的特殊性,不同DOA估计方法的应用领域和适用条件不同,针对水声信号,对已有的多种DOA估计方法的理论和应用性能进行比较,通过仿真分析,确定不同DOA估计方法在水声信号分析中的最佳应用环境,为后续水下声源的定位和探测等应用提供基础.Direction of arrival(DOA)estimation is a focus of research in the field of array signal processing,and it is also one of the commonly used localization methods in the field of underwater acoustics.Among them,the most classic ones are the conventional beamforming algorithm(CBF),the multiple signal classification algorithm(MUSIC)and the rotation invariant subspace algorithm(ESPRIT).Based on the particularity of the underwater acoustic channel,the application fields and applicable conditions of different DOA estimation methods are different.This paper compares the theoretical and application performance of various existing DOA estimation methods for underwater acoustic signals.Through simulation analysis,different DOA estimation methods are determined.The optimal application environment of the estimation method in the analysis of underwater acoustic signals provides a basis for the subsequent applications such as localization and detection of underwater sound sources.

关 键 词：DOA估计 水声信号 CBF MUSIC ESPRIT 

分 类 号：TB567[交通运输工程—水声工程]