| 基于证据理论的多传感器加权融合改进方法 |
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| 引用本文： | 李军,锁斌,李顺.基于证据理论的多传感器加权融合改进方法[J].计算机测量与控制,2011,19(10). |
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| 作者姓名： | 李军 锁斌 李顺 |
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| 作者单位： | 中国工程物理研究院电子工程研究所,四川绵阳,621900 |
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| 基金项目： | 十一五跨行业重点预研项目(426010501); 十一五行业重点预研项目(51305060204) |
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| 摘 要： | 针对多传感器系统中高冲突证据合成问题,考虑到传感器同时具有固有可靠性与实时可靠性的特点,基于证据理论提出了一种新的多传感器加权融合方法;该方法通过计算证据间的相似矩阵获取证据的后验权重,并结合根据传感器固有可靠性预先分配的先验权重,得到证据体的复合权重,然后据此对原始证据进行加权平均,最后利用D-S证据组合规则合成加权平均后的证据;实例仿真表明,与D-S、Yager、Murphy等方法相比,该方法能够更好地处理高冲突证据,且收敛速度更快。
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| 关 键 词： | 证据理论 多传感器融合 复合权重 |
Improved Multi-Sensor Weighted Fusion Method Based on Evidence Theory |
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| Li Jun,Suo Bin,Li Shun.Improved Multi-Sensor Weighted Fusion Method Based on Evidence Theory[J].Computer Measurement & Control,2011,19(10). |
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| Authors: | Li Jun Suo Bin Li Shun |
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| Affiliation: | Li Jun,Suo Bin,Li Shun(Institute of Electronic Engineering,China Academy of Engineering Physics,Mianyang 621900,China) |
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| Abstract: | In multi-sensor information fusion system,considering the inherent reliability and random uncertainty of sensors,an improved weighted evidence combination method is proposed.Similar matrices between evidences are calculated as posterior weights.Combined it with prior weights,which are assigned on the basis of inherent reliability of sensors,hybrid weights are obtained.Evidences are averaged with these complex weights,and then combined with D-S's rule.Simulation results show that,compare with the method only... |
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| Keywords: | evidence theory multi-sensor fusion hybrid weight |
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