Passive Localization Method for Acoustic Sources in Shallow Water Based on Bayesian Estimation

被引：0
|
作者：
Shi H. [1 ]
Li J. [1 ]
Liu L. [1 ]
Chang H. [2 ]
机构：
[1] School of Electronics and Information, Northwestern Polytechnical University, Shaanxi, Xi’an
[2] School of Communications and Information Engineering, Xi’an University of Posts & Telecommunications, Shaanxi, Xi’an
来源：
Binggong Xuebao/Acta Armamentarii | 2023年 / 44卷 / 05期
关键词：
Bayesian estimation; probability density; shallow water; underwater acoustic location; underwater weapon platform;
D O I：
10.12382/bgxb.2022.0028
中图分类号：
学科分类号：
摘要：
An acoustic field model in the form of probability density function is established to solve the problem of model mismatch in shallow water. The Bayesian localization model with the state vector of an acoustic source as a posteriori probability is designed to achieve the purpose of exchanging time for space by iteration and realize the localization of a moving target by a single hydrophone. The grid histogram filtering algorithm is proposed to convert analytical integral into numerical summation and improve efficiency of the algorithm. The SWellex-96 experimental results show that the relative error of depth localization can be controlled at 12. 04% and the relative error of distance localization at 6. 47% within a depth of 200 m and a distance of 10 km. The proosed method can be used to detect targets in shallow water with concealed low-energy consumption weapon platform. © 2023 China Ordnance Society. All rights reserved.
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页码：1394 / 1402
页数：8
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