We address the performance prediction of the ordered-statistic constant false alarm rate (OS-CFAR) detector for arbitrarily correlated and possibly nonidentically distributed target echoes in the presence of nonhomogeneous background. Accounting for the generalized Swerling-Chi fluctuating model, including the well-known Swerling models as special cases, we develop the analytic expressions of detection probability in terms of converging series in nonhomogeneous background involving clutter edges and possibly isolated point-like interference. At the analysis stage, we study the truncation error of the derived expressions and then evaluate the impacts on detection performance of the target parameters via numerical simulations.


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    Title :

    Performance prediction of OS-CFAR for generalized swerling-chi fluctuating targets


    Contributors:
    Lingjiang Kong, (author) / Bing Wang, (author) / Guolong Cui, (author) / Wei Yi, (author) / Xiaobo Yang, (author)


    Publication date :

    2016-02-01


    Size :

    534137 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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