The uniformly most powerful (UMP) rank-order analog to the cell-averaging constant false alarm rate (CA-CFAR) detector is developed for both the single and multi-scan case. The detector is capable of false alarm control in arbitrary noise while achieving maximum detection probability for the case of a Swerling II target in Gaussian noise. Relationships with earlier tests are discussed. A divide-and-conquer method is developed that allows for rapid implementation of a large class of two-sample rank tests.


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    Titel :

    Rank-Order Adaptive CFAR: Performance Bounds and Efficient Implementation


    Beteiligte:
    Sarma, Ashwin (Autor:in) / Tufts, Donald W. (Autor:in)


    Erscheinungsdatum :

    01.10.2013


    Format / Umfang :

    1985039 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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