UAV swarm confrontation intelligent decision-making technology review

Runze He; Di Wu; Tao Hu; Tengda Huang; Zhifu Tain; Wenjie Deng; Haochen Gong

doi:10.1117/12.3032549

16 August 2024 UAV swarm confrontation intelligent decision-making technology review

Runze He, Di Wu, Tao Hu, Tengda Huang, Zhifu Tain, Wenjie Deng, Haochen Gong

Author Affiliations +

Proceedings Volume 13218, First Aerospace Frontiers Conference (AFC 2024); 132180X (2024) https://doi.org/10.1117/12.3032549
Event: First Aerospace Frontiers Conference (AFC 2024), 2024, Xi’an, China

Abstract

With the advent of unmanned aerial vehicle (UAV) swarm technology, countering UAV swarms has emerged as a pressing challenge requiring immediate attention. Employing UAV swarms with high efficiency-to-cost ratios to counter, disrupt, and intercept enemy UAV swarms has been proven to be a relatively effective countermeasure, prompting extensive research in this field. To comprehensively analyze the progress of intelligent decision-making technology in UAV swarm confrontation, this study initially examined the primary technical challenges faced by intelligent decision-making technology, outlining the establishment and resolution of submodels as the central theme. The study presents three primary models, namely, mathematical programming, game theory, and Markov decision processes, and provides an overview of their current applications and challenges based on relevant theories. Subsequently, the study elaborates on the solution methods for each mathematical model and emphasizes the reinforcement learning-based solving algorithm, highlighting its advantages in the domain of adversarial intelligent decision making. Finally, we summarize the current state and limitations of UAV swarm intelligent decision-making research and offer a perspective on future trends in this field, thereby offering novel avenues for further research.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Runze He, Di Wu, Tao Hu, Tengda Huang, Zhifu Tain, Wenjie Deng, and Haochen Gong "UAV swarm confrontation intelligent decision-making technology review", Proc. SPIE 13218, First Aerospace Frontiers Conference (AFC 2024), 132180X (16 August 2024); https://doi.org/10.1117/12.3032549

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