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Official PDF TranslationFrontiers of Information Technology & Electronic Engineering

Joint target tracking using an autonomous underwater vehicle and underwater sensor networks for underwater applications

Authors: Zhaohong LV; Zhenkai ZHANG; Boon-Chong SEET; Yi YANG

DOI: 10.1631/FITEE_2400869Status: Verified Translated Edition
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Key Findings in This Report

• A time-delay compensated centralized extended Kalman filter (TD-CEKF) is proposed to mitigate underwater acoustic transmission delays. • The AUV's mobility is leveraged to optimize USN topology, balancing energy efficiency and tracking accuracy. • A penalty function and gradient descent method are used to determine the optimal AUV position for topology optimization. • Simulation results confirm that the proposed approach effectively overcomes delay effects and achieves superior tracking performance.