A TDOA Method for Underwater Target Location Based on Particle Swarm Optimization with Experiment Verification

被引：0
作者：
Zhou, Zihao [1 ]
Shi, Yang [1 ]
Yang, Long [1 ]
Zhang, Ruolan [1 ]
机构：
[1] Northwestern Polytech Univ, Shaanxi Key Lab Underwater Informat Technol, Sch Marine Sci & Technol, Xian, Peoples R China
来源：
OCEANS 2024 - SINGAPORE | 2024年
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
time difference of arrival; particle swarm optimization; experiment verification;
D O I：
10.1109/OCEANS51537.2024.10682172
中图分类号：
P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
TDOA methods play a significant role in passive target location. When using the time difference of arrival (TDOA) method to passively locate underwater targets, measurement errors can inevitably affect the accuracy of the location. This paper proposes a TDOA method based on particle swarm optimization (PSO) for locating underwater targets using distributed multi-agent systems. The simulation results demonstrate the method's effectiveness. An experiment was conducted to verify the method at sea in Sanya Bay in the South China Sea. The method's performance was verified at sea, demonstrating an average location error of 7.41 m. Compared to TDOA-Taylor, the method exhibits a 9.74% reduction in location error.
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页数：5
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