摘要
在判断当前战场环境下的战场态势问题时,采用层次分析法、属性识别理论方法和数据融合法,研究了认知处理战场要素模型问题。首先,对战场要素进行分析,对这些战场要素进行分类;对不同的战场要素分别建立数学模型;然后,采用层次分析法和属性识别理论方法对导弹认知的数据进行评估,得到数据的精度评估等级后,采用数据融合方法对数据进行融合,得到融合后数据,以此对导弹中的数据进行更新。最后,将所建立的战场要素模型进行实例化仿真,仿真结果表明该方法的有效性。
For study of battlefield situation of how to judge the current battlefield environment, with the method which has combined Analytical Hierarchy Process with Attribute Recognition theory and data fusion method, battlefield elementmodel of cognitive processing has been studied. Firstly, the battlefield factors have been analyzed as well as the classification of these factors and the establishment of mathematical model based on different factors is proposed. Secondly, with the method combi- ning Analytical Hierarchy Process with attribute recognition theory, the missile cognitive data has been evaluated. Once pre- cise evaluated rank of data is made, data fusion method will be used to fuse the data. With the fused data, the missiles data can be updated domain. Finally, through making an example emulation for the established battlefield factor model, the valid- ity of the method can be shown.
出处
《指挥控制与仿真》
2013年第2期17-20,共4页
Command Control & Simulation
基金
国家自然科学基金(61164015)
关键词
战场要素模型
认知处理
数据评估
数据融合
battlefield factor model
cognitive processing
data evaluation
data fusion
