Research on unmanned aerial vehicles’ passive location model based on iteration and merging

Yuhang Wu; Xiaoman Liu; Xicheng Zhang; Zibo Chen

doi:10.1117/12.2684706

21 July 2023 Research on unmanned aerial vehicles’ passive location model based on iteration and merging

Yuhang Wu, Xiaoman Liu, Xicheng Zhang, Zibo Chen

Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127170A (2023) https://doi.org/10.1117/12.2684706
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China

Abstract

In this paper, the passive positioning problem of UAV formation in flight is studied, and two different formations are discussed, and two mathematical models are established. Firstly, geometric model-based exhaustive method is used to calculate with the help of Python language, which greatly saves calculation time. Secondly, the iterative merging algorithm is used, and the simulation is carried out by Matlab. The control error is in a small range, and the final conclusion is obtained, which provides a certain theoretical basis for the practical application of passive positioning of UAV formation.

Citation Download Citation

Yuhang Wu, Xiaoman Liu, Xicheng Zhang, and Zibo Chen "Research on unmanned aerial vehicles’ passive location model based on iteration and merging", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127170A (21 July 2023); https://doi.org/10.1117/12.2684706

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