Hybrid TDOA/FDOA and track optimization of UAV swarm based on A-optimality  

作　　者：LI Hao SUN Hemin ZHOU Ronghua ZHANG Huainian 

机构地区：[1]Department of Intelligence,Air Force Early Warning Academy,Wuhan 430019,China

出　　处：《Journal of Systems Engineering and Electronics》2023年第1期149-159,共11页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China (61502522);Equipment Pre-Research Field Fund(JZX7Y20190253036101);Equipment Pre-Research Ministry of Education Joint Fund (6141A02033703);Hubei Provincial Natural Scie nce Foundation (2019CFC897)。

摘　　要：The source location based on the hybrid time difference of arrival(TDOA)/frequency difference of arrival(FDOA) is a basic problem in wireless sensor networks, and the layout of sensors in the hybrid TDOA/FDOA positioning will greatly affect the accuracy of positioning. Using unmanned aerial vehicle(UAV) as base stations, by optimizing the trajectory of the UAV swarm, an optimal positioning configuration is formed to improve the accuracy of the target position and velocity estimation. In this paper, a hybrid TDOA/FDOA positioning model is first established, and the positioning accuracy of the hybrid TDOA/FDOA under different positioning configurations and different measurement errors is simulated by the geometric dilution of precision(GDOP) factor. Second, the Cramer-Rao lower bound(CRLB) matrix of hybrid TDOA/FDOA location under different moving states of the target is derived theoretically, the objective function of the track optimization is obtained, and the track of the UAV swarm is optimized in real time. The simulation results show that the track optimization effectively improves the accuracy of the target position and velocity estimation.

关 键 词：unmanned aerial vehicle(UAV)swarm time difference of arrival(TDOA) frequency difference of arrival(FDOA) A-OPTIMALITY track optimization 

分 类 号：V279[航空宇航科学与技术—飞行器设计]