Nonlinear adaptive estimation is applied to terrain-referenced navigation in three dimensions. In this scheme, a bank of parallel filters is initialized with different altitude hypotheses, where each filter represents a discrete (gridded) approximation to the Bayes minimum variance estimator. The importance weight of each filter is recursively updated using the measurement residuals. The altitude bias estimate is found from a weighted sum of the filter hypotheses. Numerical simulations with synthetic data indicate that an altitude bias can be accurately estimated without the use of three-dimensional grids. The computational efficiency and parallel nature of the filters allow real-time positioning in three dimensions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Nonlinear adaptive filtering in terrain-referenced navigation


    Beteiligte:
    Copp, Brian (Autor:in) / Subbarao, Kamesh (Autor:in)


    Erscheinungsdatum :

    2015-10-01


    Format / Umfang :

    4177605 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Terrain Referenced Navigation

    D. D. Boozer | NTIS | 1995


    Terrain referenced navigation

    Priestley, N. | Tema Archiv | 1990


    TERRAIN REFERENCED NAVIGATION SYSTEM

    PRICE ANDREW / GEOFFREY HENDERSON | Europäisches Patentamt | 2022

    Freier Zugriff

    TERRAIN REFERENCED NAVIGATION SYSTEM

    HENDERSON GEOFFREY THOMAS | Europäisches Patentamt | 2024

    Freier Zugriff

    Adaptive Estimation of Altitude Bias in Terrain Referenced Navigation

    Copp, Brian / Subbarao, Kamesh | British Library Conference Proceedings | 2015