This paper studies Bayesian filtering techniques applied to the design of advanced delay/phase tracking loops in GNSS receivers, which estimate not only direct path parameters but those of multipath. The analysis includes trade-off among realistic propagation channel models and the use of a realistic simulation framework. The proposed filtering technique implements Rao-Blackwellization of linear states and a particle filter for the nonlinear partition. Computer simulations highlight the superior performance of such method when compared to traditional DLL/PLL based schemes, approaching theoretical limits.


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    Titel :

    Multipath estimating tracking loops in advanced GNSS receivers with particle filtering


    Beteiligte:
    Closas, Pau (Autor:in) / Fernandez-Prades, Carles (Autor:in) / Diez, Jose (Autor:in) / de Castro, David (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2012-03-01


    Format / Umfang :

    725098 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch