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Automatic censored CFAR detection for nonhomogeneous environments

机译：非均质环境的自动审查CFAR检测

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摘要

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.
机译：在恒定误报率（CFAR）检测中，通过组合附近分辨率单元的输出来估计被测单元中的杂波背景。在非均匀背景环境中，虚警调节能力和CFAR检测器的检测性能取决于噪声水平估计器的鲁棒性。作者提出并研究了用于非均匀杂波背景环境的自动检查算法。介绍了接受或拒绝参考样品的逐个细胞标准。所考虑的检测方案不需要有关背景环境的任何先验知识。考虑参考窗口中存在杂波边缘的情况，并且研究了多个目标情况的情况。考虑了干扰目标和杂波边缘都出现在被测单元的参考窗口中的情况。将所提出的方案的性能与修剪均值（TM）CFAR检测器的性能进行比较，在该检测器中预先指定了检查点。

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