Study on Situation Evaluation Assessment of Cooperative Searching Target Based on Cloud Theory and Bayesian Network

Y. Sun, Weiguang Zheng, Xiangkui Wu, Yawen Liu
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引用次数: 0

Abstract

In the process of ASW patrol aircraft cooperative search target, there is a lot of uncertainty in situation evaluation problem. In order to deal with the uncertain information, cloud theory and Bayesian network are introduced, and a method based on cloud Bayesian network is proposed to to deduce the enemy’s operational intention and form the battlefield situation. Firstly, a situation evaluation model of cooperative search target is established. Secondly, the cloud model is used for discretization. After determining the conditional probability table(CPT) of each node and the conversion between certainty and probability, the final situation grade is obtained through the probability composition formula. The simulation results show that the proposed method is reasonable and effective.
基于云理论和贝叶斯网络的协同搜索目标态势评估研究
在反潜巡逻机协同搜索目标的过程中,存在着许多不确定性的态势评估问题。为了处理不确定信息,引入云理论和贝叶斯网络,提出了一种基于云贝叶斯网络的方法来推断敌人的作战意图,形成战场态势。首先,建立了协同搜索目标的态势评估模型;其次,采用云模型进行离散化。确定各节点的条件概率表(CPT),并进行确定性与概率的转换后,通过概率构成公式得到最终的情况等级。仿真结果表明,该方法是合理有效的。
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