DocumentCode
554688
Title
An introduction of multisensor optimal information fusion based on Kalman filter method
Author
Hongwu Cao ; Renhao Zhou ; Jianliang Hao
Author_Institution
Fac. of Comput. Sci., China Univ. of Geosci., Wuhan, China
Volume
6
fYear
2011
fDate
12-14 Aug. 2011
Firstpage
3272
Lastpage
3276
Abstract
A comprehensive introduction of multisensor optimal information fusion based on Kalman filter, the state fusion methods are summarized in this paper, and they are implemented with Matlab. Practice proves that Kalman filter has a good application prospect in multisensor optimal information fusion.
Keywords
Kalman filters; mathematics computing; sensor fusion; Kalman filter method; Matlab; multisensor optimal information fusion; state fusion methods; Accuracy; Arrays; Equations; Estimation; Information filters; Kalman filters; White noise; kalman filter; matlab; optimal information fusion; state fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location
Harbin, Heilongjiang, China
Print_ISBN
978-1-61284-087-1
Type
conf
DOI
10.1109/EMEIT.2011.6023709
Filename
6023709
Link To Document