Target Detection Using Underwater Acoustic Communication Links

IF 5.3 2区 工程技术 Q1 ENGINEERING, CIVIL IEEE Journal of Oceanic Engineering Pub Date : 2024-10-09 DOI:10.1109/JOE.2024.3455414
Lu Shen;Yuriy Zakharov;Benjamin Henson;Nils Morozs;Benoît Parrein;Paul D. Mitchell
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Abstract

Underwater monitoring and surveillance systems are essential for underwater target detection, localization, and classification. The aim of this work is to investigate the possibility of target detection by using data transmission between communication nodes in an underwater acoustic (UWA) network, i.e, reusing acoustic communication signals for target detection. A new target detection method based on estimation of the time-varying channel impulse response between the communication transmitter(s) and receiver(s) is proposed and investigated. This is based on a lake experiment and numerical experiments using a simulator developed for modeling the time-varying UWA channel in the presence of a moving target. The proposed detection method provides a clear indication of a target crossing the communication link. A good similarity between results obtained in the numerical and lake experiments is observed.
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利用水声通信链路进行目标探测
水下监测和监视系统是水下目标探测、定位和分类的关键。本研究的目的是研究利用水声(UWA)网络中通信节点之间的数据传输来检测目标的可能性,即重复利用水声通信信号进行目标检测。提出并研究了一种基于通信发送端和接收端信道时变脉冲响应估计的目标检测方法。这是基于湖泊实验和数值实验,使用模拟器开发的模拟时变UWA信道在运动目标的存在。所提出的检测方法提供了目标穿过通信链路的明确指示。数值模拟结果与湖泊试验结果有很好的相似性。
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来源期刊
IEEE Journal of Oceanic Engineering
IEEE Journal of Oceanic Engineering 工程技术-工程:大洋
CiteScore
9.60
自引率
12.20%
发文量
86
审稿时长
12 months
期刊介绍: The IEEE Journal of Oceanic Engineering (ISSN 0364-9059) is the online-only quarterly publication of the IEEE Oceanic Engineering Society (IEEE OES). The scope of the Journal is the field of interest of the IEEE OES, which encompasses all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
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