DocumentCode
3594173
Title
Improved UKF Algorithm for Divergence-Suppression and Its Application to Orbit Determination
Author
Xue-jiao Guo ; Hai-yin Zhou
Author_Institution
Dept. of Math. & Syst. Sci., Nat. Univ. of Defense Technol., Changsha, China
Volume
1
fYear
2010
Firstpage
852
Lastpage
856
Abstract
The Unscented Kalman Filter (UKF) improved the linearization of system, but it do follow the Kalman Filter (KF) framework, the instability and the divergence of filter does not avoided while the increase of the measurement time in the practice. The reasons of the filter instability are discussed and two novel improved algorithms for divergence-suppression are presented in this paper. Moreover simulations are conducted using the satellites orbit determination, and the results are compared with those obtained by normal UKF to illuminate the major reasons of filter instability and demonstrate its effctiveness and advantages over the previous methods.
Keywords
Kalman filters; artificial satellites; divergence-suppression; filter instability; improved UKF algorithm; satellites orbit determination; unscented Kalman filter framework; Covariance matrix; Extraterrestrial measurements; Filtering algorithms; Gain measurement; Kalman filters; Time measurement; Divergence; Improved UKF; Satellite Orbit Determination; Suppression; UKF; UT;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Print_ISBN
978-1-4244-8333-4
Type
conf
DOI
10.1109/ISDEA.2010.321
Filename
5743312
Link To Document