An analytical solution is obtained for a steady-state Kalman filter tracker with a random power spectral density as process noise. Great insight is obtained from these analytic solutions of trackers. Optimal relationships are obtained between the gain variables. A unitless tracking index is defined as the only variable driving the steady-state Kalman filter tracker. This unitless tracking index value is defined as: /spl Lambda/=/spl radic/(psd8(/spl Delta/T)/sup 3///spl sigma//sub m//sup 2/). Optimal gains and minimum covariance are analytically calculated given the tracking index /spl Lambda/A.


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    Title :

    Analytical solution for a steady-state Kalman filter tracker with random power spectral density process noise


    Contributors:


    Publication date :

    1995-01-01


    Size :

    178255 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English