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在多径主导的浅水波导中利用声强进行无源源定位

Passive Source Localization Using Acoustic Intensity in Multipath-Dominant Shallow-Water Waveguide.

作者信息

Kim Sunhyo, Cho Sungho, Jung Seom-Kyu, Choi Jee Woong

机构信息

Marine Security and Safety Research Center, Korea Institute of Ocean Science and Technology, Busan 49111, Korea.

Department of Marine Science and Convergence Engineering, Hanyang University-ERICA, Ansan, Gyeonggido 15588, Korea.

出版信息

Sensors (Basel). 2021 Mar 21;21(6):2198. doi: 10.3390/s21062198.

DOI:10.3390/s21062198
PMID:33801103
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8004169/
Abstract

The array invariant technique has been recently proposed for passive source localization in the ocean. It has successfully estimated the source-receiver horizontal range in multipath-dominant shallow-water waveguides. However, it requires a relatively large-scale hydrophone array. This study proposes an array invariant method that uses acoustic intensity, which is a vector quantity that has the same direction as the sound wave propagating through a water medium. This method can be used to estimate not only the source-receiver horizontal range, but also the azimuth to an acoustic source. The feasibility of using a vector quantity for the array invariant method is examined through a simulation and an acoustic experiment in which particle velocity signals are obtained using a finite difference approximation of the pressure signals at two adjacent points. The source localization results estimated using acoustic intensity are compared with those obtained from beamforming of the acoustic signals acquired by the vertical line array.

摘要

阵列不变技术最近被提出用于海洋中的无源声源定位。它已成功地在多径主导的浅水波导中估计了源 - 接收器水平距离。然而,它需要一个相对大规模的水听器阵列。本研究提出了一种使用声强的阵列不变方法,声强是一个矢量量,其方向与通过水介质传播的声波方向相同。该方法不仅可用于估计源 - 接收器水平距离,还可用于估计声源的方位角。通过模拟和声学实验研究了将矢量量用于阵列不变方法的可行性,在该实验中,使用两个相邻点处压力信号的有限差分近似来获得粒子速度信号。将使用声强估计的声源定位结果与通过垂直线阵列采集的声学信号的波束形成所获得的结果进行比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/eabc1ee23021/sensors-21-02198-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/3ba1a8563280/sensors-21-02198-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/2cf45b148418/sensors-21-02198-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/cd1aaa1f276d/sensors-21-02198-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/7d7dcfb006d6/sensors-21-02198-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/eabc1ee23021/sensors-21-02198-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/3ba1a8563280/sensors-21-02198-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/052de9f125cc/sensors-21-02198-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/4ba57e6b4346/sensors-21-02198-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/54b239a61063/sensors-21-02198-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/2cf45b148418/sensors-21-02198-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/cd1aaa1f276d/sensors-21-02198-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/7d7dcfb006d6/sensors-21-02198-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b8/8004169/eabc1ee23021/sensors-21-02198-g008.jpg

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Sensors (Basel). 2019 Jun 29;19(13):2885. doi: 10.3390/s19132885.
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Cascade of blind deconvolution and array invariant for robust source-range estimation.用于稳健源距离估计的盲反卷积级联和阵列不变性
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Array invariant-based source localization in shallow water using a sparse vertical array.基于阵列不变性的浅海稀疏垂直阵列源定位
J Acoust Soc Am. 2017 Jan;141(1):183. doi: 10.1121/1.4973812.
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