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.<>
Automatic censored CFAR detection for nonhomogeneous environments
IEEE Transactions on Aerospace and Electronic Systems ; 28 , 1 ; 286-304
01.01.1992
1337682 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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