Hybrid Acoustic System for Underwater Target Detection and Tracking

被引：0
作者：
Sumithra G. [1 ]
Ajay N. [1 ]
Neeraja N. [1 ]
Adityaraj K. [1 ]
机构：
[1] Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai
来源：
International Journal of Applied and Computational Mathematics | 2023年 / 9卷 / 6期
关键词：
Active and passive target detection; Autocorrelation; Cross correlation; Extended Kalman filter; Interactive multiple model algorithm; Music algorithm; Sonar; Triangulation method;
D O I：
10.1007/s40819-023-01621-4
中图分类号：
学科分类号：
摘要：
The detection and localization of underwater targets, including submarines and Unmanned Underwater Vehicles (UUVs), play a crucial role in various maritime applications such as defence, surveillance, and resource exploration. This paper presents a comprehensive approach for the detection, localization, and tracking of underwater targets utilizing a combined passive and active SONAR system. The passive SONAR system offers the advantage of stealthy detection without emitting active acoustic signals. Once a target is detected, an active SONAR tracking system is employed to precisely localize and track the target's movements. This system combines the results of the MUSIC algorithm, utilized for direction-of-arrival estimation, with tracking algorithms. The suggested method combines the advantages of passive and active SONAR systems to successfully identify, localise, and track targets in aquatic environments. The combination of these systems improves the capabilities of underwater surveillance and defence systems and offers thorough situational awareness. Tracking algorithms such as the Extended Kalman filter and Interactive multiple models are used to track the target and the performance of these tracking algorithms are compared. © 2023, The Author(s), under exclusive licence to Springer Nature India Private Limited.
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