Source number detection based on multi-threshold eigenvalue correction using uniform circular acoustic vector sensor array

被引：0

作者：

Shi S. ^{[1
,2
]}

Zhu W. ^{[2
]}

Li Y. ^{[2
]}

Zhu Z. ^{[1
,2
]}

机构：

[1] Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin

[2] College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin

来源：

Shi, Shengguo (shishengguo@hrbeu.edu.cn) | 1600年 / Editorial Board of Journal of Harbin Engineering卷 / 38期

关键词：

Combined information processing of the acoustic pressure and the acoustic particle velocity; Eigenvalue correction; Multi-threshold technology; Source detection; Uniform circular acoustic vector sensor array;

D O I：

10.11990/jheu.201511028

中图分类号：

学科分类号：

摘要：

To solve the passive detection problems of underwater remote targets, we propose a method for detecting source numbers with a uniform circular acoustic vector sensor array. First, we constructed a combined covariance matrix of the pressure and the acoustic particle velocity of the uniform circular acoustic vector sensor array. Then, based on the double-threshold detection concept, we adopted a multi-threshold image processing technology to correct the eigenvalue of the covariance matrix. Ultimately, the source number can be estimated using the information criteria approach. Results from our theoretical analyses and computer simulations show that, the proposed method can effectively improve detection performance of the infrmation criteria. The pool experimental results also demonstrate that it exhibits better detection performance and a stronger noise suppression ability than other methods, further verifying the effectiveness of our proposed method. © 2017, Editorial Department of Journal of HEU. All right reserved.

引用

页码：120 / 125

页数：5

共 14 条

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