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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    Title :

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




    Publication date :

    2003-01-01


    Size :

    217282 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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