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基于加权证据组合的多传感器目标识别
引用本文:柳毅,高晓光,卢广山,陈红林,李相民. 基于加权证据组合的多传感器目标识别[J]. 系统工程与电子技术, 2003, 25(12): 1475-1477
作者姓名:柳毅  高晓光  卢广山  陈红林  李相民
作者单位:1. 西北工业大学电子工程系,陕西,西安,710072
2. 中国航空工业洛阳电光设备研究所,河南,洛阳,471009
基金项目:博士点基金(20020699001)
摘    要:为了解决多传感器信息融合中不同等级重要信息源数据的融合问题,在证据理论基本概念的基础上,引入证据权的概念。依据证据权的不同对各条证据进行转化,使之可以用传统的方法进行证据合成。将这种方法应用到等级不同的多传感器目标识别中可以解决传统证据理论只能进行等级相同传感器目标识别的难题。识别实例表明,该方法提高了目标识别的准确性和有效性。

关 键 词:目标识别  证据理论  信息融合
文章编号:1001-506(2003)12-1475-03
修稿时间:2002-11-04

Multisensor target recognition based on the weighted evidence combination
LIU Yi,GAO Xiao-guang,LU Guang-shan,CHEN Hong-lin,LI Xiang-min. Multisensor target recognition based on the weighted evidence combination[J]. System Engineering and Electronics, 2003, 25(12): 1475-1477
Authors:LIU Yi  GAO Xiao-guang  LU Guang-shan  CHEN Hong-lin  LI Xiang-min
Abstract:For solving data fusion problem of inequably important information source in multi-sensor information fusion the concept of evidence weight is introduced based on basical concept of evidence weight. For transformation of each evidence according to its weight difference the evidence synthesis is completed using tradition method. In multi-sensor target recognition of different grade using this method the problem of target recognition of only same grade sensor using tradition evidence theory can be solved. An identification example using this method indicates that the precision and effectiveness of target recognition are raised.
Keywords:target recognition  evidence theory  information fusion
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