MU-PTO: Multi-Unmanned Aerial Vehicle Supported Passive Tracking Optimization for Dynamic Maritime Lost Items

For the problem of passive localization of lost objects on the dynamic sea surface, a Multi-Unmanned Aerial Vehicle (UAV) supported Passive Tracking Optimization (MU-PTO) has been proposed, which mainly includes: firstly, a theory-driven passive localization method is designed to achieve information fusion among multi-UAVs based on the geometrical dilution of precision, and the theoretical derivation and analytical equations are given; secondly, a multi-UAV tracking optimization model based on the Improved Multi-Operator Differential Evolution (IMODE) algorithm is designed to achieve precise positioning during dynamic tracking. The results show that the positioning error in the initial state does not exceed 1.824 km, and the error can be reduced to within 1e-6 km with only 100 iterations of optimization.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3707402.3707407
Citations
1
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.34
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MU-PTO: Multi-Unmanned Aerial Vehicle Supported Passive Tracking Optimization for Dynamic Maritime Lost Items

Cong Zhao, Yuan-Hao Jiang, Baoyan Duan, Ziwei Chen et al.
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Maritime Navigation and Safety
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article

MU-PTO: Multi-Unmanned Aerial Vehicle Supported Passive Tracking Optimization for Dynamic Maritime Lost Items

Cong Zhao, Yuan-Hao Jiang, Baoyan Duan, Ziwei Chen, Kezong Tang, Chengjian Meng
article en
1 citations

Abstract

For the problem of passive localization of lost objects on the dynamic sea surface, a Multi-Unmanned Aerial Vehicle (UAV) supported Passive Tracking Optimization (MU-PTO) has been proposed, which mainly includes: firstly, a theory-driven passive localization method is designed to achieve information fusion among multi-UAVs based on the geometrical dilution of precision, and the theoretical derivation and analytical equations are given; secondly, a multi-UAV tracking optimization model based on the Improved Multi-Operator Differential Evolution (IMODE) algorithm is designed to achieve precise positioning during dynamic tracking. The results show that the positioning error in the initial state does not exceed 1.824 km, and the error can be reduced to within 1e-6 km with only 100 iterations of optimization.

Jingdezhen Ceramic Institute (CN), East China Normal University (CN)
Life below water
Openalex Percentile: Top 37%
Maritime Navigation and Safety
0.34
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