DocumentCode
581826
Title
Improved cubature Kalman filter and its application
Author
Xiqing, Wei ; Song Shenmin ; Baoqun, Zhang
Author_Institution
Harbin Inst. of Technol., Harbin, China
fYear
2012
fDate
25-27 July 2012
Firstpage
1794
Lastpage
1798
Abstract
An improved cubature Kalman filter combined with L-M algorithm is presented. Cubature Kalman filter is a new nonlinear Gaussian filter, which is more accurate than UKF. By introducing L-M algorithm to cubature Kalman filter, measurement update is modified to an iterative version which makes full use of information in the measurements. A stopping criteria with an accuracy dependent tolerance is given to avoid too large emphasis on the measurems. Simulations in target tracking of reentry confirm the superiority of LMCKF.
Keywords
Kalman filters; target tracking; L-M algorithm; cubature Kalman filter; measurement update; nonlinear Gaussian filter; stopping criteria; target tracking; Estimation; Filtering theory; Information filters; Kalman filters; Magnetic separation; Cubature Kalman filter; L-M algorithm; Nonlinear filtering; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6390215
Link To Document