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目标属性信息相关时融合识别的实现方法
引用本文:王永成,王宏飞,杨成梧.目标属性信息相关时融合识别的实现方法[J].兵工学报,2005,26(3):338-342.
作者姓名:王永成  王宏飞  杨成梧
作者单位:郑州航空工业管理学院,河南,郑州,450015;南京理工大学,动力工程学院,江苏,南京,210094;南京理工大学,动力工程学院,江苏,南京,210094
摘    要:多源信息融合的一个主要应用方向是目标识别,但是各传感器测量到的目标属性值常常是相关的、不独立的,因此对各属性信息的融合比较困难。基于多属性决策模型( MADM)和D-S证据理论提出了加权融合的方法,并给出了权重系数的计算方法和权重灵敏性分析方法,介绍了利用条件概率加权进行目标识别的方法。

关 键 词:控制理论  信息融合  目标识别  多属性决策模型  证据理论
文章编号:1000-1093(2005)03-0338-05

Method of Implementation of Fusing Correlated Attribute Information in Target Recognition
WANG Yong-cheng,WANG Hong-fei,YANG Cheng-wu.Method of Implementation of Fusing Correlated Attribute Information in Target Recognition[J].Acta Armamentarii,2005,26(3):338-342.
Authors:WANG Yong-cheng  WANG Hong-fei  YANG Cheng-wu
Affiliation:1. Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, Henan 450015, China; 2. School of Power Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
Abstract:Target recognition is an important branch of application in multi-source information fusion. The attribute informations measured by each sensor are often correlated and dependent and therefore it is frequently a hard task to fuse data from different sensors. A novel weighted combination method based on the MADM and D-S evidence theory was put forward and the methods of establishing weight coefficients and analyzing their sensitivity were given in this paper. Moreover, the weighted conditional probability is also introduced into target recognition.
Keywords:control theory  data fusion  target recognition  multi-attribute decision model  evidence theory
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