DocumentCode :
3734324
Title :
Novel cubature Kalman filters based on mixed degrees
Author :
Yali Feng;Qingan Yang;Shiyuan Wang;Wenjie Zhang;Yunfei Zheng
Author_Institution :
School of Electronic and Information Engineering, Southwest University, Chongqing, China
fYear :
2015
Firstpage :
220
Lastpage :
224
Abstract :
The cubature rule used in the cubature Kalman filter (CKF) is a combination of the spherical rule and the radial rule. In order to further improve the computational efficiency and accuracy, we introduce a novel CKF in this paper by using the mixed degrees of spherical and radial rules. Simulation results show that the novel CKFs present the trade-off between the conventional third-degree CKF (CKF3) and the fifth-degree CKF (CKF5) from the respects of the accuracy and computational complexity. In addition, the novel CKF outperforms the CKF5 in some nonlinear systems.
Keywords :
"Kalman filters","Bayes methods","Mathematical model","Computational complexity","Time measurement","Noise measurement"
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2015 Sixth International Conference on
Print_ISBN :
978-1-4799-1715-0
Type :
conf
DOI :
10.1109/ICICIP.2015.7388172
Filename :
7388172
Link To Document :
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