一种反潜巡逻机协同搜索情报目标态势评估方法

Y. Sun, Junfeng Gai, Huayun Liu
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引用次数: 0

摘要

针对海军战场中存在大量不确定信息的目标态势评估问题,引入贝叶斯网络和云理论,提出了一种基于云贝叶斯网络的自主模式下反潜巡逻机协同搜索潜在目标态势评估方法。在该方法中,建立了反潜巡逻机自主模式和导翼模式的协同搜索方案。在自主模式的基础上,设计了基于云贝叶斯网络的目标态势评估模型,构建了有向无环图贝叶斯网络结构。在此基础上,提出了目标态势评估的指标。然后,采用云模型对模型进行离散化。和。计算每个节点的条件概率表(CPT)。最后推断出目标类型和对方的作战意图,形成战场态势。将仿真与问题分析过程相结合,从仿真结果来看,该方法是可行的,并且达到了预期的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Intelligence Target Situation Assessment Method for Cooperative Search by ASW Patrol Aircraft
To handle the problem of target situation assessment with a large amount of uncertain information in naval battlefield, Bayesian network and cloud theory are introduced, and a method of situation assessment for ASW patrol aircraft cooperative search potential target in autonomous mode based on cloud Bayesian network is presented. In this method, the cooperative search schemes of autonomous mode and lead-wing mode for ASW patrol aircraft are established. And based on autonomous mode, the target situation assessment model based on cloud Bayesian network is designed, and Bayesian network structure which is the directed acyclic graph is constituted. Then, the indexes of target situation assessment are delineated. After that, the cloud model is adopted to discretize the model. And. the conditional probability table(CPT) for each node are calculated as well. At last, the target type and the other side's fighting intention are inferred, and the battlefield situation is formed. The simulation is combined with the problem analysis process, and the method is feasible from the simulation results, what's more, it will have the desired effect.
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