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张伟豪,陈怀新,崔莹,等.基于动态贝叶斯网络的战斗目标综合推理识别[J].电讯技术，2012，52（6）： - . [点击复制]
ZHANG Wei-hao,CHEN Huai-xin,CUI Ying,et al.Fusion inference identification of combat targets based on dynamic Bayesian network[J].，2012，52（6）： - . [点击复制]

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基于动态贝叶斯网络的战斗目标综合推理识别
张伟豪,陈怀新,崔莹,王连亮
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(中国西南电子技术研究所，成都 610036)

摘要:

针对空战战场环境下的目标可靠识别，提出了基于动态贝叶斯网络的战斗目标综合推理识别方法。分析了目标属性的多层次及状态变量关系，提出了层次化的战斗识别动态贝叶斯网络拓扑结构及其参数设定方法，并运用时间片联合树算法进行不确定性动态推理，实现动态的目标属性判断与识别。仿真结果给出了目标的多层次属性信息，验证了模型的有效性。

关键词: 目标综合识别动态贝叶斯网络不确定推理时间片联合树算法

DOI：

基金项目:

Fusion inference identification of combat targets based on dynamic Bayesian network

ZHANG Wei-hao,CHEN Huai-xin,CUI Ying,WANG Lian-liang

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Abstract:

To realize reliability identification of targets in air battlefield, integrated inference for combat target identification is proposed based on dynamic Bayesian network(DBN). Combat targets′ attribute variable and its states are analysed, a hierarchy DBN is built for combat identification, then the way of obtaining ne twork parameters is discussed. Uncertain dynamic reasoning is made based on Join t Tree algorithm of time slice and decision of targets′ attribute is made dynam ically. Simulation study gives targets′ multi-hierarchy attribute and shows tha t the proposed method is effective.

Key words: target fusion identification dynamic Bayesian network uncertain reasoning joint tree algorithm of time slice