Cooperative confrontation model of UAV swarm with random spatial networks

被引:0
作者
Wang E. [1 ,2 ]
Guo J. [1 ]
Hong C. [3 ,4 ]
Ren H. [1 ]
Chen A. [3 ,4 ]
Shang X. [3 ,4 ]
机构
[1] School of Electronic and Information Engineering, Shenyang Aerospace University, Shenyang
[2] Liaoning General Aviation Academy, Shenyang Aerospace University, Shenyang
[3] Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing
[4] College of Robotics, Beijing Union University, Beijing
来源
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2023年 / 49卷 / 01期
关键词
cascading effects; complex network; cooperative confrontation; random spatial network; UAV swarm;
D O I
10.13700/j.bh.1001-5965.2021.0206
中图分类号
学科分类号
摘要
UAV swarm cooperative confrontation is a development direction for future war. In order to highlight the advantages of the swarm such as strong attack, difficult defense and high flexibility, it is an important research direction to effectively model the complex system of high-dimensional, strong dynamic and nonlinear UAV cluster cooperative confrontation. In this paper, we apply the complex spatial network theory to construct a cooperative confrontation network, a cooperative network and a confrontation network between two UAV swarms. Meanwhile, we establish a UAV swarm cooperative confrontation model in 2D and 3D based on the cooperative reconnaissance scene of UAV swarm. Then, we analyze the impact of the spatial distance between opponent UAVs on the hit rate, and put forward the formula of hit rate with spatial distance. We analyze the robustness of the cooperative network of UAV swarm through cascading effects and verify the effectiveness and practicality of the UAV swarm cooperative confrontation model. Our work will provide new insight for the modeling of UAV swarm cooperative confrontation. © 2023 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
引用
收藏
页码:10 / 16
页数:6
相关论文
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