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作 者:朱蓉 张则剑[1] 赫志达 ZHU Rong;ZHANG Zejian;HE Zhida(Unit 91550 of PLA,Dalian 116023,China)
机构地区:[1]中国人民解放军91550部队,辽宁大连116023
出 处:《现代电子技术》2022年第21期27-31,共5页Modern Electronics Technique
摘 要:为了在反无人机蜂群作战中尽可能减少我方损失,对多目标岛礁反无人机作战的武器部署问题进行研究,提出了一种优化的武器部署方案。依据无人机的航路捷径、到武器杀伤区远界的时间、保卫目标价值等因素确定了威胁函数;按照优先打击威胁大的无人机,然后按编队各个击破的原则制定了拦截方案;综合考虑保卫目标的重要程度、来袭方向的火力纵深及火力密度等因素,建立综合防护效能函数。以综合防护效能最大化为目标,以部署位置及防空火力范围的前后衔接为约束,构建了对保卫目标的综合防护效能评估模型。将该模型应用于三方来袭的仿真事例中,利用遗传算法求解得到了优化的武器部署方案,验证了该模型方法的可行性,对未来对空防御中反无人机作战问题具有一定参考价值。In order to minimize the losses in the battle against UAV swarm,the weapon deployment for anti⁃UAV operations for multiple objectives in island and reef is studied,and an optimized weapon deployment scheme is proposed.The threat function is determined according to such factors as the UAV′s air route shortcut,the time to get to far boundary of weapon attack zone,and the value of protecting the objectives.The interception scheme is formulated according to the principle of attacking the UAV with the most threatening first and then destroying the formation of UAVs one by one.The comprehensive protection efficiency function is established by taking account of the factors of the importance of the objectives under defense,and the firepower depth and firepower density in the direction of attack.The comprehensive protection effectiveness evaluation model for the objectives under defense is established,which takes the maximization of the comprehensive protection efficiency as the goal and the deployment position and the convergence of air defense fire range as the constraint.The model was applied to the simulation case of attack in three directions.The optimized weapon deployment scheme is obtained by solving with the genetic algorithm(GA),which verifies the feasibility of the model.Therefore,it has a certain reference value for anti⁃UAV operations in the future air defense.
关 键 词:防空武器部署 多目标防御 威胁函数 火力密度 遗传算法 防护效能评估 对空防御
分 类 号:TN99-34[电子电信—信号与信息处理] E926.3[电子电信—信息与通信工程]
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