Joint target tracking using an autonomous underwater vehicle and underwater sensor networks for underwater applications
Regular Papers|Updated:2025-09-04
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Joint target tracking using an autonomous underwater vehicle and underwater sensor networks for underwater applications
面向水下应用的水下自主航行器与传感器网络联合目标跟踪方法
“In the field of underwater sensor networks, an autonomous underwater vehicle is utilized to enhance energy efficiency and tracking accuracy. The proposed time-delay compensated centralized extended Kalman filter algorithm effectively mitigates the impact of transmission delay on target tracking, optimizing the USN topology and improving tracking performance.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 8, Pages: 1473-1485(2025)
Affiliations:
1.Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212003, China
2.Electrical and Electronic Engineering Department, Auckland University of Technology, Auckland 1010, New Zealand
3.Wuhan Maritime Communication Research Institute, Wuhan 430223, China
Zhaohong LV, Zhenkai ZHANG, Boon-Chong SEET, et al. Joint target tracking using an autonomous underwater vehicle and underwater sensor networks for underwater applications[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(8): 1473-1485.
DOI:
Zhaohong LV, Zhenkai ZHANG, Boon-Chong SEET, et al. Joint target tracking using an autonomous underwater vehicle and underwater sensor networks for underwater applications[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(8): 1473-1485. DOI: 10.1631/FITEE.2400869.
Joint target tracking using an autonomous underwater vehicle and underwater sensor networks for underwater applications