Passive location method-based UAV formation positioning model

Mingrui Zhang; Qian Sun; LiBo Zhu

doi:10.1117/12.2681215

23 May 2023 Passive location method-based UAV formation positioning model

Mingrui Zhang, Qian Sun, LiBo Zhu

Author Affiliations +

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126454U (2023) https://doi.org/10.1117/12.2681215
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

In this paper, a circular location model based on AOA was established, the directional angle of the actual UAV received signal was analyzed, and a model with the directional angle as input was established to solve the UAV location, solving the UAV swarm location and adjustment problem effectively. The model built in this paper enables the adjustment of sequences and schemes for different formation designs, with the advantages of high accuracy, wide applicability, fast adjustment and high formation retention.

Citation Download Citation

Mingrui Zhang, Qian Sun, and LiBo Zhu "Passive location method-based UAV formation positioning model", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126454U (23 May 2023); https://doi.org/10.1117/12.2681215

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