摘要
结合态势估计的特点,介绍了黑板结构和贝叶斯网络2种用于态势估计的方法,分析了各自的优缺点,并选取贝叶斯网络来进行态势估计。详细讨论了战场态势在贝叶斯网络中的知识表示和信息传播。针对静态贝叶斯网络难以捕捉动态战场信息的缺点,采用了动态搜索最佳网络的方法进行推理,为战场态势估计提供了新的思路。
This paper, combining the characteristic of situation assessment, introduces two kinds of methods of situation assessment that are based on Blackboard and Bayesian network, analyzes their advantages and disadvantages, and chooses Bayesian network to assess situation. Then, knowledge show and information transmission in Bayesian network for battlefield situation are discussed detailedly. Finally, aiming at the disadvantages that static Bayesian network catches difficultly dynamic battlefield information, this paper presents a method of dynamicly searching optimal network to carry through inference, which provides a new kind of thought for battlefield situation assessment.
出处
《无线电工程》
2007年第5期4-6,共3页
Radio Engineering
关键词
态势估计
贝叶斯网络
黑板结构
situation assessment
Bayesian network
Blackboard
