The goal of this article is to illustrate and compare two algorithms for nonlinear sampled-data state estimation. Under idealized assumptions on the astrodynamics of bodies orbiting the Earth, we apply SDEKF and SDUKF for range-only as well as range and angle observations provided by a constellation of six LEO satellites in circular, equatorial orbits. We study the ability of the filters to acquire and track a target satellite in geosynchronous orbit as a function of the sample interval, initial uncertainty, and type of available measurements. For target acquisition, SDUKF yields more accurate position and velocity estimates than SDEKF. Moreover, the convergence of SDEKF is sensitive to the initialization of the error covariance; in fact, a nondiagonal initial covariance is found to be more effective than a diagonal initial covariance. Like SDUKF, by properly setting a nondiagonal initial error covariance, SDEKF also exhibits global convergence, that is, convergence is attained for all initial true-anomaly errors.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Spacecraft tracking using sampled-data Kalman filters


    Contributors:

    Published in:

    Publication date :

    2008


    Size :

    17 Seiten, 32 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





    Dual Quaternion Kalman Filters for Spacecraft Relative Navigation

    Zivan, YIgal / Choukroun, Daniel | AIAA | 2018


    Dual Quaternion Kalman Filters for Spacecraft Relative Pose Estimation

    Zivan, Yigal / Choukroun, Daniel | British Library Conference Proceedings | 2017


    High resolution order tracking using Kalman tracking filters - theory and applications

    Leuridan,J. / Kopp,G.E. / Moshrefi,N. et al. | Automotive engineering | 1995