摘要
随着智能技术和无人机技术的发展,无人机蜂群作战成为了一种新的作战样式,对防御方提出了更高的要求。针对无人机蜂群具有分布式和非对称性杀伤特点、难以有效防御的问题,先基于层次分析法对无人机蜂群进行威胁评估,再通过远距武器、中距武器、近距武器协同部署,点杀伤武器、面杀伤武器协同配合的方式,利用遗传算法进行快速求解计算,最大限度保证我方设施安全。仿真结果表明,提出的方法计算效率高,能够有效降低无人机蜂群的打击威胁。
With the development of intelligent technology and unmanned aerial vehicle technology,drone swarm operations have become a new combat style,placing higher demands on the defending side.Aiming at the characteristics of UAV swarms with distributed asymmetrical attacks and difficult to defend,this article first conducted threat assessment of UAV swarms based on the analytic hierarchy process,and then deployed them through coordinated deployment of long-range weapons,medium-range weapons,and short-range weapons In this way,genetic algorithm was used for accurate calculation to ensure the safety of our facilities.Finally,the simulation results show that the method proposed in this paper has high computational efficiency and can effectively reduce the threat of drone swarms.
作者
王泽源
白亮
顾伟
WANG Ze-yuan;BAI Liang;GU Wei(National University of Defense Technology,Changsha Hunan410000,China;No.31113 Unit of PLA,Nanjing Jiangsu 210000,China)
出处
《计算机仿真》
北大核心
2023年第4期73-77,共5页
Computer Simulation
关键词
反无人机蜂群
威胁评估
遗传算法
武器协同
Anti-UAV swarm
Threat assessment
Genetic algorithm
Weapon coordination
