UAVs threat assessment based on GA-FWNN in anti-UAV operations

Zihao Lu; Yi Gao; Zhao Zhang; Jiaxing He; Yongxiang He; Lin Yan; Hongwu Guo

doi:10.1117/12.3011522

1 December 2023 UAVs threat assessment based on GA-FWNN in anti-UAV operations

Zihao Lu, Yi Gao, Zhao Zhang, Jiaxing He, Yongxiang He, Lin Yan, Hongwu Guo

Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 129403D (2023) https://doi.org/10.1117/12.3011522
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China

Abstract

In this paper, the threat assessment of single UAV target is carried out according to the requirements of anti-UAV cluster operation. Firstly, the single target threat assessment framework is described, and the threat elements of UAV targets in a given environment are extracted, including static threat elements and dynamic threat elements, which are quantified by scale method. Then the threat weight of each element is analyzed, and the final weight is determined. Secondly, in view of the problem of poor prediction accuracy of FWNN algorithm in UAV threat assessment, GA-FWNN algorithm is proposed. The GA-FWNN threat assessment model is constructed by improving the FWNN algorithm through two methods: increasing the number of samples driven by data and updating the optimization parameters by genetic algorithm, and it is applied in the UAV threat target assessment simulation. Finally, through the simulation of the combat scenario, it is proved that the single UAV target threat assessment based on GA-FWNN has better prediction ability and can accurately estimate the combat target threat.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zihao Lu, Yi Gao, Zhao Zhang, Jiaxing He, Yongxiang He, Lin Yan, and Hongwu Guo "UAVs threat assessment based on GA-FWNN in anti-UAV operations", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 129403D (1 December 2023); https://doi.org/10.1117/12.3011522

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