In constant false alarm rate (CFAR) detection, the clutter background in the cell under test is estimated by combining the outputs of the nearby resolution cells. In a nonhomogeneous background environment, the false alarm regulation capabilities and the detection performance of a CFAR detector depend on the robustness of the noise level estimator. The authors propose and study automatic censoring algorithms for nonhomogeneous clutter background environments. A cell-by-cell criterion for accepting or rejecting reference samples is introduced. The detection schemes that are considered do not require any a priori knowledge about the background environment. The case where a clutter edge is present in the reference window is considered, and the case of multiple target situations is studied. The case when both interfering targets and a clutter edge appear in the reference window of the cell under test is considered. The performances of the proposed schemes are compared with that of the trimmed-mean (TM) CFAR detector, in which the censoring points are preassigned.<>


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    Title :

    Automatic censored CFAR detection for nonhomogeneous environments


    Contributors:
    Himonas, S.D. (author) / Barkat, M. (author)


    Publication date :

    1992-01-01


    Size :

    1337682 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English