• 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