A multiple model estimation scheme is proposed to enhance the robustness of a resident space object (RSO) tracker subject to its maneuverability uncertainties (unplanned or unknown jet firing activities) and other system variations. The concept is based on the Interacting Multiple Model (IMM) estimation scheme. Within the IMM framework, two Extended Kalman Filter (EKF) models: (i) a 6 State (Position and Velocity of a constant orbiting RSO) EKF and (ii) a 9 state (Position, Velocity, and Acceleration of a maneuvering RSO) EKF are designed and implemented to achieve RSO maneuvering detection and enhanced tracking accuracy. The IMM estimation scheme is capable of providing enhanced state vector estimation accuracy and consistent prediction of the RSO maneuvering status, thus offering an attractive design feature for future Space Situational Awareness (SSA) missions. The design concept is illustrated using the Matlab/Based Simulation testing environment.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Resident space object tracking using an interacting multiple model mixing scheme


    Beteiligte:
    Lam, Quang M. (Autor:in)

    Kongress:

    Sensors and Systems for Space Applications VII ; 2014 ; Baltimore,Maryland,USA


    Erschienen in:

    Erscheinungsdatum :

    03.06.2014





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Resident space object tracking using an interacting multiple model mixing scheme [9085-31]

    Lam, Q.M. / SPIE (Society) | British Library Conference Proceedings | 2014



    Resident Space Object Proper Orbital Elements

    Rosengren, Aaron J. / Amato, Davide / Bombardelli, Claudio et al. | TIBKAT | 2019


    Resident Space Object Characterization Using Polarized Light Curves

    Dianetti, Andrew D. / Crassidis, John L. | AIAA | 2023