一种交互合成的目标身份识别方法

李鸿飞; 田康生; 金宏斌; 方维华

doi:10.15892/j.cnki.djzdxb.2011.01.021

2011 , Vol. 31 >Issue 1: 207 - 210

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2011.01.021

摘要

针对D-S证据理论(Dempster-Shafertheory,DST)中Dempster组合规则在处理高冲突证据时的不足,以及DSm理论(Dezert-Smarandanchetheory,DSmT)在处理低冲突证据时置信度降低的问题,文中提出了DST与DSmT交互合成的目标身份识别方法。该方法先计算证据相似度,然后根据相似度对DST与DSmT交互合成,从而自适应处理证据。算例结果表明了该方法可以有效提高目标身份识别的准确性。

关键词： 目标身份识别; DSm理论; D-S 证据理论; 交互合成; 角度相似度

本文引用格式

李鸿飞 , 田康生 , 金宏斌 , 方维华 . 一种交互合成的目标身份识别方法[J]. 弹箭与制导学报, 2011 , 31(1) : 207 -210 . DOI: 10.15892/j.cnki.djzdxb.2011.01.021

Abstract

Dempster-Shafer theory (DST) can't deal with high conflicting evidence, when Dezert-Smarandanche theory (DSmT) reduces the basic belief assignment in the low conflicting condition, so this paper present a target indentity identification method that interacts DST and DSmT. The method calculates the similarty to adaptive combine evidence. The simulation results show that the method is effective.

Key words： target identity identification; DSmT; DST; interactive combination; angle similarity

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参考文献

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