基于动态RCS的超视距空战导引方法研究  

Research on over-the-horizon air combat guidance method based on dynamic RCS

作　　者：宋绍梅 于怡飞 李盖 杨啟明 张建东[2] SONG Shaomei;YU Yifei;LI Gai;YANG Qiming;ZHANG Jiandong(CASIC Research Institute of Intelligent Decision Engineering,Wuhan 430040,China;School of Electronics and Information,Northwestern Polytechnical University,Xi′an 710129,China;Luoyang Institute of Electro-Optical Equipment,AVIC,Luoyang 471009,China)

机构地区：[1]航天科工智能运筹与信息安全研究院(武汉)有限公司,湖北武汉430040 [2]西北工业大学电子信息学院,陕西西安710129 [3]中国航空工业集团公司洛阳电光设备研究所,河南洛阳471009

出　　处：《西北工业大学学报》2025年第2期345-356,共12页Journal of Northwestern Polytechnical University

基　　金：航空科学基金(20220013053005)资助。

摘　　要：针对远距接敌过程中目标雷达散射截面(radar cross section,RCS)过小引起的目标丢失问题,分析了目标RCS与雷达探测概率的关系,提出了一种基于粒子群过载寻优(particle swarm optimization,PSO)的导引方法。考虑动态RCS的影响得出最佳攻击态势,在此基础上建立考虑动态RCS约束的态势评估函数;以态势评估值最大化为目标,利用粒子群算法寻找每一时刻最合适的过载,从而导引我方战机进入攻击区构成发射条件。在不同场景下开展了相关仿真,结果表明考虑RCS约束,基于粒子群过载寻优的方法在导引战机达成最佳攻击态势的过程中,能减小目标RCS的起伏程度,有效地降低了远距离接敌导引过程中目标丢失概率。In order to solve the problem of target loss caused by too small target RCS in the process of long-range enemy contact,the relationship between target RCS and radar detection probability is analyzed,and a guidance method based on Particle Swarm Optimization(PSO)is proposed.Firstly,the influence of dynamic RCS is considered to obtain the optimal attack situation,and then the situation evaluation function considering dynamic RCS constraints is established.Then,to maximize the situation assessment value as the goal,particle swarm optimization algorithm is used to find the most appropriate overload at every moment,so as to guide our aircraft into the attack zone to constitute the launch conditions.The simulation results show that considering the RCS constraint,the particle swarm overload optimization method can reduce the fluctuation degree of target RCS and effectively reduce the probability of target loss during long-range enemy guidance.

关 键 词：超视距导引 粒子群算法 RCS 态势评估 

分 类 号：V247[航空宇航科学与技术—飞行器设计]