Wireless UV light UAV inter-aircraft avoidance algorithm based on target trajectory prediction

Kun Liu; Taifei Zhao; Peng Gao

doi:10.1117/12.2614408

15 October 2021 Wireless UV light UAV inter-aircraft avoidance algorithm based on target trajectory prediction

Kun Liu, Taifei Zhao, Peng Gao

Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 119331W (2021) https://doi.org/10.1117/12.2614408
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China

Abstract

In the complex electromagnetic environment of the battlefield, it is particularly important to ensure the communication network of the UAV cluster and the safety of the UAV. This paper proposes an algorithm for avoidance wireless UAVs in the UAV cluster. First, the enhanced vector field histogram algorithm is improved by combining the characteristics of airborne wireless UV coverage and the characteristics of UAV motion. Secondly, using a traceless transformation to improve the one-step prediction in the Gaussian mixture probability hypothesis density filtering algorithm. Simulation results show that compared with the A * -based enhanced vector field histogram algorithm, the overall trajectory of the algorithm in this paper is smoother and there is no obvious jitter when avoiding. Prove the feasibility of this algorithm.

Citation Download Citation

Kun Liu, Taifei Zhao, and Peng Gao "Wireless UV light UAV inter-aircraft avoidance algorithm based on target trajectory prediction", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 119331W (15 October 2021); https://doi.org/10.1117/12.2614408

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