Collaborative Trajectory Optimization for Multitarget Tracking in Airborne Radar Network With Missing Data

被引：0
作者：
Hu, Juan [1 ]
Zuo, Lei [1 ]
Varshney, Pramod K. [2 ]
Lan, Zhengyu [1 ]
Gao, Yongchan [3 ]
机构：
[1] Xidian Univ, Natl Key Lab Radar Signal Proc, Xian 710071, Peoples R China
[2] Syracuse Univ, Dept Elect Engn & Comp Sci, Syracuse, NY 13244 USA
[3] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2025年 / 73卷
基金：
中国国家自然科学基金;
关键词：
Trajectory optimization; target tracking; air- borne radar network; missing data; SYSTEMS SUBJECT; MANAGEMENT; PLACEMENT; LOCALIZATION; SEARCH; BOUNDS;
D O I：
10.1109/TSP.2025.3540798
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an effective collaborative trajectory optimization (CTO) strategy is proposed for multitarget tracking in airborne radar networks with missing data. Missing data may occur during data exchange between radar nodes and a fusion center (FC) due to unreliability of communication channels. The CTO strategy aims to enhance the overall multi-target tracking performance by collaboratively optimizing the trajectories of airborne radars and the FC. In this paper, we derive the posterior Cram & eacute;r-Rao lower bound (PCRLB) with missing data to evaluate the target tracking performance. On this basis, to maximize the target tracking performance while considering dynamics, collision avoidance, and communication distance constraints, we formulate the CTO optimization problem. The formulated problem is non-convex and internally coupled, which is challenging to solve directly. We decompose the CTO problem into two subproblems and devise an alternating optimization method. Specifically, approximation, and successive convex approximation are applied to make the subproblems solvable. Then, the two subproblems are solved alternately to realize the collaborative trajectory optimization of radars and the FC. Simulation results demonstrate that the proposed CTO strategy achieves better target tracking performance as compared with other benchmark strategies.
引用
收藏
页码：1048 / 1064
页数：17
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