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

• Published in: Journal of systems engineering and electronics 2023-02, Vol.34 (1), p.149-159
• Main Authors: Li, Hao, Sun, Hemin, Zhou, Ronghua, Zhang, Huainian
• Format: Article
• Language: English
• ISSN: 1004-4132; 1004-4132
• DOI: 10.23919/JSEE.2023.000008

The source location based on the hybrid time diffe-rence 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 estima-tion. 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 dif-ferent measurement errors is simulated by the geometric dilu-tion of precision (GDOP) factor. Second, the Cramer-Rao lower bound (CRLB) matrix of hybrid TDOA/FDOA location under dif-ferent 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.