The techniques of recursive estimation and Kalman filtering are applied to the problem of estimation of space vehicle orbits and trajectories using only measurements of the Doppler shifts in radio signals transmitted by or reflected from the target. Two approaches are described. One is a global fit technique in which the parameters of an assumed trajectory model are estimated. The second is a pointwise mapping technique in which the trajectory estimate is extrapolated as the target tracking data is received. The paper provides a tutorial illustration of the direct application of recursive optimization techniques to a class of engineering problems.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Application of Recursive Estimation and Kalman Filtering to Doppler Tracking


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    01.07.1970


    Format / Umfang :

    2557898 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Robust recursive sigma point Kalman filtering for Huber-based generalized M-estimation

    LI, Shoupeng / TAN, Panlong / LIU, Weiwei et al. | Elsevier | 2025

    Freier Zugriff


    Tracking targets using adaptive Kalman filtering

    Gutman, P.-O. / Velger, M. | IEEE | 1990