基于电磁空间信息的空战辅助决策

Auxiliary Decision-Making in Air Combat Based on Electromagnetic Space

针对航空兵作战支持领域辅助决策方向的态势威胁评估问题,引入了可适应证据信息动态变化的离散贝叶斯网络分类器,利用电磁空间信息实现了空战态势威胁评估贝叶斯网络的分级分离处理,并给出相应的推理模型。利用上述模型可以有效综合各个时刻获取到的电磁空间多源信息,完成辅助决策推理。通过仿真实例说明分级分离处理的离散贝叶斯网络分类器能够更为有效的实现航空兵作战的态势威胁评估等辅助决策任务。

In view of problems of situation and threat assessment concerning auxiliary decision-making in air combat support,a discrete Bayesian network classifier which is dynamically adaptable to the variation of evidence information is introduced. With the classifier,the stage and seperation processing of situation and threat assessment could be achieved in processing electromagnetic information of Bayesian network in air combats. A reasoning model is proposed correspondingly,which can be applied effectively to gather and to analyze multi-source electromagnetic information obtained at any time to aid the reasoning in auxiliary decision-making process. The effectiveness of the discrete Bayesian network classifier with stage and separation processing mode in auxiliary decision-making,including situation and threat assessment in air combats,is then justified with simulation examples.