Methods of clutter rejection are discussed which furnish an inherent counterpart of target tracking and detection algorithms. We describe how nonparametric curve estimation methods reduce the original sensor data to a "signal-plus-noise" model which is well suited for various hypotheses testing and dynamical filtering algorithms. We also verify a "white noise" assumption for the model of residuals.


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    Title :

    Nonparametric methods for clutter removal


    Contributors:
    Leonov, S. (author)


    Publication date :

    2001-07-01


    Size :

    1600888 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English