DocumentCode :
232208
Title :
Multi-sensor data fusion based on the eigenvector of relation matrix
Author :
Yue Sun ; Jinzhong Zhao ; Bing Li
Author_Institution :
Dept. Autom., Harbin Eng. Univ., Harbin, China
fYear :
2014
fDate :
19-23 Oct. 2014
Firstpage :
2199
Lastpage :
2204
Abstract :
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.
Keywords :
eigenvalues and eigenfunctions; matrix algebra; sensor fusion; digital simulation; eigenvalues; eigenvector; fusion weight; multisensor data fusion; optimal sensor group; relation matrix; Algorithm design and analysis; Data integration; Data mining; Eigenvalues and eigenfunctions; Feature extraction; Robustness; Vectors; Multi-sensor data fusion; eigenvalues and eigenvectors; optimal sensor group; relation matrix;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
ISSN :
2164-5221
Print_ISBN :
978-1-4799-2188-1
Type :
conf
DOI :
10.1109/ICOSP.2014.7015385
Filename :
7015385
Link To Document :
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