MULTI-SENSOR DATA FUSION BASED ON THE EIGEN VECTOR OF RELATION MATRIX

被引:0
作者
Sun Yue [1 ]
Zhao Jinzhong [1 ]
Li Bing [1 ]
机构
[1] Harbin Engn Univ, Dept Automat, Harbin, Peoples R China
来源
2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) | 2014年
关键词
Multi-sensor data fusion; relation matrix; eigenvalues and eigenvectors; optimal sensor group;
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
A data fusion approach based on eigenvalues and eigenvectors of relation matrix of multi-sensor is proposed. Features of relation matrix are extracted and the information of relation matrix is fully utilized by eigenvalues and eigenvectors of relation matrix. This approach overcomes the problem of influenced by expert experience in threshold settings by the optimal sensor group selected through fusion weight Finally, the result of digital simulation demonstrates that this approach can be simply calculated with high accuracy and excellent robustness.
引用
收藏
页码:2199 / 2204
页数:6
相关论文
共 16 条
[1]   Engine fault diagnosis based on multi-sensor information fusion using Dempster-Shafer evidence theory [J].
Basir, Otman ;
Yuan, Xiaohong .
INFORMATION FUSION, 2007, 8 (04) :379-386
[2]  
BU C. J., 2003, THEORY MATRICES
[3]  
David L, 2006, HDB MULTISENSOR DATA
[4]  
DUAN Z. S., 2004, COMPUTER ENG APPL, V15, P1
[5]  
Duan Zhansheng, 2005, Chinese Journal of Scientific Instrument, V26, P478
[6]  
Harris C. J., 2011, INFORM FUSION, P17
[7]  
Liu S, 2011, OPTIMAL ESTIMATION T
[8]   DYNAMIC MULTI-SENSOR DATA FUSION SYSTEM FOR INTELLIGENT ROBOTS [J].
LUO, RC ;
LIN, MH ;
SCHERP, RS .
IEEE JOURNAL OF ROBOTICS AND AUTOMATION, 1988, 4 (04) :386-396
[9]   Using multi-sensor data fusion for vibration fault diagnosis of rolling element bearings by accelerometer and load cell [J].
Safizadeh, M. S. ;
Latifi, S. K. .
INFORMATION FUSION, 2014, 18 :1-8
[10]  
[万树平 WAN Shuping], 2008, [传感器与微系统, Transducer and Microsystem Technology], V27, P64