Characteristics of signal tracking Kalman filter (KF) approaches for a Global Navigation Satellite System (GNSS) receiver are presented. In particular the direct-state KF is designed by using a state vector for signal parameters not for signal parameter errors, so as to directly utilize the discriminator output as a measurement residual. This enables the reuse of the existing signal tracking loop structure by simply adjusting the filter coefficients based on a time-varying optimal Kalman gain. The characteristics of the direct-state KF together with the error-state KF are analyzed by comparing their noise bandwidth and open- and closed-loop transfer functions with those of a traditional method. These KF approaches are mathematically equivalent to the traditional method except for the use of time-varying gains. This fact provides an insight how to tune the designed KFs based on their expected performances.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Characteristics of Kalman Filters for GNSS Signal Tracking Loop


    Contributors:
    Jong-Hoon Won (author) / Pany, T. (author) / Eissfeller, B. (author)


    Publication date :

    2012-10-01


    Size :

    6754479 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    GNSS Meta-Signal Tracking Using a Bicomplex Kalman Filter

    Daniele Borio / Melania Susi | DOAJ | 2024

    Free access

    PERFORMANCE COMPARISON OF DIFFERENT FORMS OF KALMAN FILTER APPROACHES FOR A VECTOR-BASED GNSS SIGNAL TRACKING LOOP

    Won, J.-H. / Dotterbock, D. / Eissfeller, B. | British Library Online Contents | 2010


    Multicorrelator signal tracking and signal quality monitoring for GNSS with extended Kalman filter

    Iliopoulos, Andreas / Enneking, Christoph / Crespillo, Omar Garcia et al. | IEEE | 2017



    GNSS-Aided Satellite Localization by Using Various Kalman Filters

    Sever, Mert / Hajiyev, Chingiz | Springer Verlag | 2023