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
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;
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
DOI :
10.1109/EMEIT.2011.6023709
