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证据源权重的计算及其在证据融合中的应用

孟光磊 龚光红

孟光磊, 龚光红. 证据源权重的计算及其在证据融合中的应用[J]. 北京航空航天大学学报, 2010, 36(11): 1365-1368.
引用本文: 孟光磊, 龚光红. 证据源权重的计算及其在证据融合中的应用[J]. 北京航空航天大学学报, 2010, 36(11): 1365-1368.
Meng Guanglei, Gong Guanghong. Weight coefficients calculation for evidence sources and it-s application in evidences fusion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(11): 1365-1368. (in Chinese)
Citation: Meng Guanglei, Gong Guanghong. Weight coefficients calculation for evidence sources and it-s application in evidences fusion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(11): 1365-1368. (in Chinese)

证据源权重的计算及其在证据融合中的应用

基金项目: 总装备部装备预研重点基金资助项目(9140A04040106HT0801)
详细信息
    作者简介:

    孟光磊(1982-),男,黑龙江齐齐哈尔人,博士生,mengguanglei@gmail.com.

    通讯作者:

    孟光磊

  • 中图分类号: TP391.9

Weight coefficients calculation for evidence sources and it-s application in evidences fusion

More Information
    Corresponding author: Meng Guanglei
  • 摘要: 证据融合是提高目标识别准确性的有效方法.为了解决高度冲突证据融合时产生不合理结果的问题,提出了证据源权重的评定原则.引入了证据距离的概念,根据证据源权重的评定原则,提出了证据源权重的计算方法,实现了对各传感器证据的按权相加修正,从而在信息融合之前消除了冲突证据,避免了不合理结果的产生.为了有效利用先验知识,提高目标识别的效率,分两种情况设计了证据融合的方案,并进行了融合复杂性分析.分别对两种证据融合方案进行了仿真试验并进行了比较分析,仿真结果验证了使用证据融合进行目标识别的有效性.

     

  • [1] Murphy R R.Dempster-Shafer theory for sensor fusion in autonomous mobile robots[J].IEEE Trans on Robotics and Automation,1998,14(2):197-206 [2] 邓勇,朱振福,钟山.基于证据理论的模糊信息融合及其在目标识别中的应用[J].航空学报,2005,26(6),754-758 Deng Yong,Zhu Zhenfu,Zhong Shan.Fuzzy information fusion based on evidence theory and its application in target recognition[J].Acta Aeronautica et Astronautica Sinica,2005,26(6):754-758(in Chinese) [3] 李楠,曲长文,苏峰,等.基于证据组合理论的多传感器目标识别算法[J].弹箭与制导学报,2009,29(2),217-220 Li Nan,Qu Changwen,Su Feng,et al.The algorithm of multi-sensor target identification based on evidence combination theory[J].Journal of Projectiles,Rockets,Missiles and Guidance,2009,29(2):217-220(in Chinese) [4] 柳毅,高晓光,卢广山,等.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(2),1475-1478 Liu Yi,Gao Xiaoguang,Lu Guangshan,et al.Multi-sensor target recognition based on the weighted evidencecombination[J].Systems Engineering and Electronics,2003,25(2):1475-1478 (in Chinese) [5] Haenni R.Comments on about the belief function combination and the conflict management problem[J].Information Fusion,2002(3):149-162 [6] Anne-L J,Dominic G,Eloi B.A new distance between two bodies of evidence[J].Information Fusion,2001(2):91-101 [7] Jian Yonglin,Wen Dongxiao,Lewis F L,et al.Energy-efficient distributed adaptive multi-sensor scheduling for target tracking in wireless sensor networks[J].IEEE Trans on Instrumentation and Measurement,2009,58(6):1886-1896 [8] Waske B,Benediktsson J A.Fusion of support vector machines for classification of multisensor data[J].IEEE Trans on Geoscience and Remote Sensing,2007,45(12):3858-3866 [9] Chanussot J,Mauris G,Lambert P.Fuzzy fusion techniques for linear features detection in multi-temporal SAR images[J].IEEE Trans on Geosci Remote Sensing,1999,37(3):1292-1305 [10] Beynon M,Curry B,Morgan P.The Dempster-Shafer theory of evidence: an alternative approach to multicriteria decision modeling[J].Omega,2000(28):37-50 [11] Chiang H,Moses R L,Potter L C.Model-based classification of radar images[J].Information Theory,2000,46(5):1842-1854 [12] Ma B,Lakshmanan S,Hero A O.Simultaneous detection of lane and pavement boundaries using model-based multisensor fusion[J].IEEE Trans on Intelligent Transportation Systems,2000,1(3):135-147 [13] Zhang Lan,Henry Leung,Chan K.Information fusion based smart home control system and its application[J].IEEE Trans on Consumer Electronics,2008,54(3):1157-1165
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出版历程
  • 收稿日期:  2009-09-30
  • 网络出版日期:  2010-11-30

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