A Cartesian coordinate linear regression filter is utilized for tracking maneuvering aircraft targets. Measurements of target position are made in a line-of-sight coordinate frame, but filtering is performed in Cartesian coordinates. Numerical results are given for optimizing the truncation time constant such that a good balance is obtained between the dynamic errors and the standard deviations. Lower bounds on the dynamic errors are established for the Cartesian coordinate linear regression filter and compared with a line-of-sight coordinate Kalman filter.


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    Title :

    Linear Regression Filtering and Prediction for Tracking Maneuvering Aircraft Targets


    Contributors:


    Publication date :

    1972-11-01


    Size :

    2383839 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English