摘要
为了实现多导弹攻击下的反导战场态势评估,首先建立了用于单枚导弹态势评估的贝叶斯网络(BN)模块,其次以该模块为基础提出了一种用于反导战场全局态势评估的动态贝叶斯网络(DBNs)模型,并给出变结构DBNs推理算法。仿真结果表明,该模型对来袭导弹的数目以及拦截成功与否等事件描述准确且迅速,可以满足多导弹攻击下的态势评估要求,并能够为反导指挥作战提供决策支持。
In order to realize the situation assessment of the antimissile battlefield in conditions of multi-missile attack, firstly, the single missile Bayesian network （BN） module is first built. Secondly, the dynamic Bayesian networks （DBNs） model for antimissile battle global situation assessment is raised based on the single missile BN module, and the reasoning algorithm of the variable structure DBNs is given. The simulation to the model shows that the model can describe the events as the number of the attacking missiles, whether the attacking missiles can be intercepted or not and so on accurately and rapidly. Meanwhile the model can meet the requirement of the situation assessment in conditions of multi-missile attack, and it can provide the decision support for antimissile combat command.
出处
《现代防御技术》
北大核心
2014年第3期109-115,共7页
Modern Defence Technology
关键词
反导作战
态势评估
变结构
动态贝叶斯网络
antimissile battle
situation assessment
variable structure
dynamic Bayesian networks （DBNs）
