The estimation of a vehicle's position and velocity based on measurements of pseudoranges and range-rates is a nonlinear filtering problem. We utilize a linearized Kalman filter with global convergence that avoids divergence because the local model linearization is not based on the linearized Kalman filter's own estimates. Instead, the linearization is made about the estimates of another suboptimal Kalman filter that is based on a globally valid quasi-linear time-varying measurement model.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Three-stage filter for position estimation using pseudorange measurements


    Beteiligte:


    Erscheinungsdatum :

    01.08.2016


    Format / Umfang :

    1583252 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Set-Membership Position Estimation With GNSS Pseudorange Error Mitigation Using Lane-Boundary Measurements

    Bento, Luis Conde / Bonnifait, Philippe / Nunes, Urbano J. | IEEE | 2019



    Estimation of Multipath Error in GPS Pseudorange Measurements

    Breivik, K. / Forssell, B. / Kee, C. et al. | British Library Online Contents | 1997