Global navigation satellite system (GNSS) signals from different frequencies can be effectively treated as a single entity, characterized by common delays and carrier phases, leading to so-called GNSS meta-signals. A convenient approach for deriving meta-signal acquisition and tracking algorithms has been recently introduced based on bicomplex numbers, which are a bidimensional extension of complex numbers. Bicomplex numbers allow one to represent two signals from different frequencies as a single quantity, providing a compact notation for algorithm development. In this work, an error-state Kalman filter (KF) is developed, and two signals from different frequencies are tracked simultaneously using the bicomplex number paradigm. A triple-loop architecture, in which loop filters are replaced by a single KF, is developed, implemented, and tested using real Galileo alternative binary offset carrier and BeiDou B1I/B1C meta-signals. This analysis clearly shows the advantages of KF tracking for processing GNSS meta-signals with components from different frequencies.


    Access

    Download


    Export, share and cite



    Title :

    GNSS Meta-Signal Tracking Using a Bicomplex Kalman Filter


    Contributors:


    Publication date :

    2024




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Bicomplex Representation and Processing of GNSS Signals

    Daniele Borio | DOAJ | 2023

    Free access

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

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


    Characteristics of Kalman Filters for GNSS Signal Tracking Loop

    Jong-Hoon Won / Pany, T. / Eissfeller, B. | IEEE | 2012


    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