基于云贝叶斯的协同搜潜目标态势评估方法

A Method of Situation Assessment for Cooperative Searching Submarine Based on Cloud Bayesian Network

为了处理海战场具有大量不确定信息的目标态势评估问题,提出了基于云贝叶斯网络方法的反潜巡逻机协同搜潜目标态势评估方法,该方法建立了基于云贝叶斯的搜潜目标态势评估模型,构建贝叶斯网络结构的有向无环图,确定了评估指标,然后采用云模型进行离散化处理,并设计实现态势评估过程,最后推断出目标类型和对方作战意图,形成战场态势。仿真结果表明,所提出的方法合理、有效。

To deal with uncertain information of situation assessment in naval battlefield,based on cloud theory and Bayesian network,situation assessment for cooperative searching submarine in anti-submarine warfare(ASW)patrol aircraft is studied.Situation assessment model is established,and the directed acyclic graph of the Bayesian network structure is constructed,the assessment index is determined.Then the cloud model is used for discretization,moreover,the situation assessment process is designed.Therefore,the target type and the opponent's fighting intention are deduced,and the battlefield situation is formed.Finally,The simulation results show that the proposed method is reasonable and effective.