末端防御系统中的对抗决策方法研究  

Research on Confrontation Strategy Algorithm of Terminal Defense System

作　　者：赵玲[1] 刘正敏[1] 姜长生[1] 

机构地区：[1]南京航空航天大学自动化学院,南京210016

出　　处：《宇航学报》2011年第3期574-581,共8页Journal of Astronautics

基　　金：航空火力国家重点实验室基金;国防武器预研基金

摘　　要：为解决现有的对抗决策算法对威胁指数的规划过于依赖客观数据,且缺乏一致性检验,难以应对精确制导武器大规模袭击的问题,采用一种灰色关联分析与逼近理想解排序(TOPSIS)多属性决策相结合的方法,对末端防御系统来袭目标的威胁程度进行量化分析和威胁值排序,再依次对威胁结果由高到低的威胁源进行对抗。算法在精确规划威胁因素及其权重的基础上,改进了衡量来袭目标的威胁程度的模型,并通过基于Euclid距离和灰色关联分析的TOPSIS法进行评估决策。数据验证结果表明该算法决策结果与优秀军事指战员在实际战场中得出的结果一致,且与传统算法相比,在保证正确性与实时性的基础上,具有更好的可靠性。In order to solve the problem that the current confrontation strategy algorithm depends on objective data excessively and is lack of consistency detection,which cannot deal with a large number of precision-guided weapons,an advanced TOPSIS（Technique for Order Preferred by Similarity to Ideal Solution） algorithm combined with grey correlation analysis is proposed for quantified analysis of threat assessment of the targets,which can also sort them in order.The conflict decision is made according to the subsequence of targets.Considering of the system＇s feature such as complexity and real-time,this algorithm,based on accurate calculation of the threat factors and their weights,the threat model is improved and an assessment is made by using grey correlation analysis.The final simulation result shows that the decision is identifed with that made by excellent military experts in the real battle field.Besides,the algorithm has higher reliability other than correctness and real-time compared with conventional TOPSIS algorithm.

关 键 词：末端防御 对抗决策 威胁评估 灰色关联 TOPSIS 

分 类 号：TJ761[兵器科学与技术—武器系统与运用工程]