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基于统计证据的mass函数和D-S证据理论的多传感器目标识别
引用本文:王俊林 张剑云. 基于统计证据的mass函数和D-S证据理论的多传感器目标识别[J]. 传感技术学报, 2006, 19(3): 862-864
作者姓名:王俊林 张剑云
作者单位:1. 解放军电子工程学院研究生三队,合肥,230037
2. 解放军电子工程学院信息工程系,合肥,230037
摘    要:mass函数表示对证据的精确信任程度,是信任函数的基本概率分配.文章在阐述Dempster-Shafer(D-S)证据理论和决策方法的基础上,较系统地论述了基于统计证据的mass函数和D-S证据理论的目标识别的数据融合方法,并给出了具体的识别实例.从计算结果可以看出,该方法有利于目标识别的实现,具有较好的实用性.

关 键 词:mass函数  证据理论  目标识别  多传感器信息融合
文章编号:1004-1699(2006)03-0862-03
收稿时间:2005-07-18
修稿时间:2005-07-18

Multisensor Target Identification Based on Mass Function of Statistical Evidence and D-S Evidence Theory
Wang Jun-Lin,Zhang Jian-Yun. Multisensor Target Identification Based on Mass Function of Statistical Evidence and D-S Evidence Theory[J]. Journal of Transduction Technology, 2006, 19(3): 862-864
Authors:Wang Jun-Lin  Zhang Jian-Yun
Affiliation:1. Three team of Graduate ,Electronic Engineering Institute of PLA , Hefei 230037, China;2.Information Engineering Department , Electronic Engineering Institute of PLA , Hefei 230037, China
Abstract:Mass function is interpreted the precise degree of evidence and described as a basic probability assignment. In this paper, we discuss mass function of statistical evidence and D-S evidence theory , which is applied to multisensor target identification. A example is given. The results show that the method is propitious to realize target identification, so it takes on preferable practicability.
Keywords:mass function  evidence theory   target identification  multisensor information fusion
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