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一种基本概率指派的模糊生成及其在数据融合中的应用
引用本文:蒋雯,张安,杨奇.一种基本概率指派的模糊生成及其在数据融合中的应用[J].传感技术学报,2008,21(10).
作者姓名:蒋雯  张安  杨奇
作者单位:西北工业大学电子信息学院,西安,710072;西北工业大学电子信息学院,西安,710072;西北工业大学电子信息学院,西安,710072
基金项目:教育部高等学校博士学科点专项科研基金
摘    要:DS证据组合规则可以在没有先验信息的情况下进行融合,这一优点使得DS证据理论在多传感器融合系统中应用非常广泛.但是各个证据的基本概率指派如何生成仍然是一个有待解决的问题.本文基于模糊匹配,提出了一种基本概率指派生成方法,并应用到多传感器目标识别中.用一个多传感器目标识别的实验表明:所提出的方法可以合理地生成基本概率指派,能够准确的识别目标.

关 键 词:多传感器融合  证据理论  基本概率指派  模糊匹配  目标识别

Fuzzy Approach to Construct Basic Probability Assignment and Its Application in Multi-sensor Data Fusion Systems
Jiang Wen,Zhang An,Yang Qi.Fuzzy Approach to Construct Basic Probability Assignment and Its Application in Multi-sensor Data Fusion Systems[J].Journal of Transduction Technology,2008,21(10).
Authors:Jiang Wen  Zhang An  Yang Qi
Affiliation:School of Electronics and Information, Northwestern Polytechnical University
Abstract:In the framework of evidence theory,information fusion relies on the use of combination rule allowing the belief functions for the different propositions to be combined.A crucial role in evidence theory is played by Dempster's combination rule that has several interesting mathematical properties such as commutativity and associativity and can be combined without prior information,which make it widely used in many data fusion systems.However,how to construct basic probability assignment(BPA)is still an open issue.A fuzzy method to obtain basic probability assignment is proposed.A numerical example for target recognition is used to illustrated the efficiency of the proposed method.
Keywords:multi-sensor data fusion  evidence theory  basic probability assignment  fuzzy match  target recognition
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