A Method of Fusion Recognition Based on the Characteristic of Target and Incomplete Data

被引：0
|
作者：
Li Jun-wu [1 ]
Yu Zhi-fu [1 ]
机构：
[1] Inst Elect Engn, Hefei, Peoples R China
来源：
PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3 | 2012年
关键词：
information fusion; incomplete data; target recognition; D-S evidence theory;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
According to the problem of incomplete data fusion recognition, a method based on target characteristics is proposed. The expected values of characteristics are gained firstly based on observation vector in this method, and they are combined with fuzzy reasoning method to get the evidence. Then the expectation evidence is obtained through the analysis of the importance of evidence. Finally the D-S evidence theory is used to fusion expect evidence aiming to get recognition result. The simulation results show that the method can not only solve the problem of incomplete data fusion and also can avoid conflict evidence.
引用
收藏
页码：1813 / 1816
页数：4
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