In this paper design and development of a multidimensional Kalman filter with the purpose to estimate the tri-dimensional position of a stationary object based on GPS measurements is presented. Because this is not the only filtering algorithm available, a comparison with other four types of filters (one-dimensional optimal Kalman algorithm, quasioptimal stationary Kalman algorithm, simple moving average algorithm and optimally unbiased moving average algorithm) is also developed.


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    Titel :

    Three-dimensional optimal Kalman algorithm for GPS-based positioning estimation of the stationary object


    Beteiligte:


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    217282 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch