摘要
针对多平台杀伤链仿真难度大、杀伤评估指标不明确、杀伤链与实际场景结合不紧密的问题,本文以美军NIFC-CA杀伤链为基础对杀伤链在作战态势仿真中的实际表现进行了研究。首先,设计目标节点的特征信息,针对NIFC-CA杀伤链中的E-2D预警机、F-35战斗机、宙斯盾舰平台设计定制化的侦察节点效能评估指标;将NIFCCA杀伤链与侦察节点相关联、将侦察节点的效能评估指标与目标节点信息相关联,以评估侦察节点对不同目标的探测效能水平。其次,引入影响节点表征侦察节点在作战场景下受到的干扰以及侦察节点自身的抗干扰效能水平。再次,以状态转移矩阵的方式关联目标节点、影响节点、侦察节点,并以功能依赖网络分析法(Functional Dependency Network Analysis,FDNA)的依赖关系分析方法关联侦察节点、指控节点、打击节点,给出不同杀伤链整体杀伤能力的量化值。最后,通过邻接表的形式对杀伤链模型进行仿真设计。
Given the problems of the difficulty in multi-platform kill chain simulation,unclear kill assessment indexes,and the lack of close integration with the actual scenarios,the practical implementation of the kill chain in combat situation simulations was studied using the U.S.Army's NIFC-CA kill chain.Firstly,the characteristic information of target nodes was designed,and customized reconnaissance node effectiveness evaluation indexes were designed for E-2D AWACS,F-35 fighter jets and Aegis ship platforms in the NIFC-CA kill chain.It associated the NIFC-CA kill chain with the reconnaissance nodes and also connected the reconnaissance node effectiveness evaluation indexes with the target node information,and evaluated the level of the reconnaissance node's effectiveness in the detection of different targets.Secondly,the influence nodes were introduced to characterize the interference of the reconnaissance node in the combat scenario and the anti-interference effectiveness level of the reconnaissance node itself.Then,the target node,influence node,and reconnaissance node were correlated using a state transfer matrix,and the reconnaissance node,command node,and strike node were correlated using dependency analysis of the Functional Dependency Network Analysis(FDNA),giving the quantitative value of the overall killing capability of different killing chains. Finally, the simulation design of the kill chain model was carried out in the form of an adjacency table.
作者
蒋瑞琪
徐金龙
倪寒琦
施星宇
张伟
何子述
JIANG Ruiqi;XU Jinlong;NI Hanqi;SHI Xingyu;ZHANG Wei;HE Zishu(School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,Sichuan,China;Shanghai Electro-Mechanical Engineering Institute,Shanghai 201109,China;Chengdu Nano Radar Technology Co.,Ltd.,Chengdu 611731,Sichuan,China)
出处
《空天防御》
2024年第5期82-89,109,共9页
Air & Space Defense
基金
国家自然科学基金面上项目(62371093)
国家自然科学基金重点项目(62231006)。