Abstract:

In the soft hard collaborative combat mode of the air defense system， it is of great significance to reasonably and efficiently allocate targets for the coordinated interception of soft and hard killing equipment. This paper proposes a method for allocating targets for hard and soft killing weapon target assignment based on hybrid particle swarm optimization. The optimization indicators corresponding to the soft hard collaborative interception problem are analyzed. The comprehensive interception efficiency index of the target is integrated by using the shooting advantage of hard killing equipment and the interference advantage indicators such as suppression， frequency， and angle of soft killing equipment. The advantages of traditional particle swarm algorithm and genetic algorithm are combined， and an improved hybrid particle swarm algorithm is adopted. A coding structure suitable for simultaneous allocation of soft and hard equipment and a particle generation guidance operation that accelerates algorithm convergence are designed. The simulation results show that in the field fixed position air defense scenario， the hybrid particle swarm algorithm can quickly obtain the optimal target allocation scheme. Compared with traditional algorithms， the comprehensive interception efficiency of targets is significantly improved， and it has certain engineering application value in air defense command and control systems.

Key words: soft and hard coordination, air defense system, weapon target assignment, particle swarm optimization, command and control systems

摘要：

在防空体系软硬协同作战模式中，对软杀伤和硬杀伤装备协同拦截进行合理高效的目标分配具有重要的意义，提出了一种基于混合粒子群算法的防空装备软硬杀伤目标分配方法。分析软硬协同拦截问题对应的寻优指标，使用硬杀伤装备射击有利度和软杀伤装备压制、频率、角度等干扰有利度指标整合目标综合拦截效能指标，将传统粒子群算法与遗传算法的优势进行结合，采用改进的混合粒子群算法，并设计了适合软硬装备同时分配的编码结构和加快算法收敛的粒子生成引导操作。仿真结果表明：在野战固定阵地防空场景中，混合粒子群算法可快速得到目标分配最优方案，相较于传统算法，目标综合拦截效能明显提升，在防空指挥控制系统中具有一定的工程应用价值。

关键词: 软硬协同, 防空体系, 目标分配, 粒子群算法, 指挥控制