| 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 |
| () |
| 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 |
