Depth discrimination for broadband acoustic source in shallow water

被引：0
|
作者：
Qiu L.-H. [1 ,2 ]
Liang G.-L. [1 ,2 ]
Wang J.-J. [1 ,2 ]
机构：
[1] Acoustic Science and Technology Laboratory, College of Underwater Acoustic Engineerin, Harbin Engineering University, Harbin
[2] Key Laboratory of Marine Information Acquisition and Security, Harbin Engineering University, Harbin
来源：
Chuan Bo Li Xue/Journal of Ship Mechanics | 2020年 / 24卷 / 02期
关键词：
Depth discrimination; Multipath time-delay; Sparse reconstruction;
D O I：
10.3969/j.issn.1007-7294.2020.02.014
中图分类号：
学科分类号：
摘要：
The ability of a passive sonar system to distinguish submerged targets from surface ones is very important. To solve this problem, a method of distinguishing between submerged targets and surface ones using single hydrophone in shallow water is proposed. The source depth discrimination problem can be considered as a binary classification problem. In this paper, we consider the acoustic ray propagation model in an ideal waveguide, the relationship between the time delay of bottom reflection (relative to the direct path) and the time delay of surface reflection is derived. According to the ratio of the delay difference between the bottom reflection path and the surface reflection path, the range-independent depth decision statistics is constructed. By comparing the statistics with the preset threshold, the submerged targets and the surface ones can be distinguished. Under the assumption of broadband noise source, the power spectrum of the received signal contains several periodic components related to the multipath delay. By constraining the sparsity of the power spectrum, the multipath time-delay of bottom reflection and surface reflection can be estimated by orthogonal matching pursuit technique. Computer simulation results show the performance of the time-delay estimation algorithm. The effect of time-delay estimation error on depth discrimination is also analyzed. Finally, Monte Carlo methods are used to validate the effectiveness of the proposed depth discrimination method. © 2020, Editorial Board of Journal of Ship Mechanics. All right reserved.
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页码：251 / 260
页数：9
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