基于动态贝叶斯网络的防空作战态势分析

Situation Analysis of Air Defensive OperationSituation Operation Based on Dynamic Bayesian Network to Object Assessment

针对战场目标战术意图变化的复杂性,尤其是战场信息的不确定性,根据态势事件与态势假设之间的潜在关系,利用动态贝叶斯网络建立态势评估的功能模型,并用实例验证方法有效性。仿真表明:功能模型能将各种特征因素进行综合,使不同时间片的特征因素相互修改,并准确地跟踪战场态势的变化,所得结果为指挥员情报决策提供了支持。

Considering the complexity of situation alteration in the battlefield, especially the uncertainty of battlefield infor- mation, and in terms of the potential relation between situation events and situation hypothesis a functional model of situa- tion assessment was set up by using the dynamic Bayesian network. And by taking the examples the proposed methods were retested and verified. The simulation results showed that the situation assessment model could integrate various char- acteristic factors to make those characteristic factors in various time periods be modified mutually, accurately tracking the variation of battlefield situation. And the result could be supportive for commanders making decision correctly.