The effect of correlated measurement errors on target tracking accuracies is studied by means of Kalman filter theory. The measurement error is modeled as a first-order Markov process characterized by a correlation time ( tau ) and a position error variance. The target motion is described by one of two dynamic models: the exponentially correlated velocity (ECV) model and the exponentially correlated acceleration (ECA) model. The analysis is based on two new solutions for the continuous-time, steady-state Kalman covariance. For both the ECV and ECA target models, the velocity variance exhibits resonant behavior whenever the target maneuver bandwidth is close to 1/ tau .


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    Title :

    Track filters for correlated measurements and target maneuvers


    Additional title:

    Ein Nachführfilter für die korrelierte Messung und Ziel


    Contributors:


    Publication date :

    1990


    Size :

    5 Seiten, 11 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English