Abstract:For the problem of CFAR (Constant False Alarm Rate) detection in clutter, a new detector, i.e., the Blind-CFAR detector is proposed. The Blind-CFAR detector calculates its detection threshold through the PDF (Probability Density Function) estimation of clutter, which is based on the fractional moment estimations of clutter and the maximum entropy method. The Blind-CFAR detector is verified in Weibull clutter through simulation experiments. By employing nonparametric estimation methods, the Blind-CFAR detector has advantages of a simple structure, a good universality, etc. Furthermore, it can be applied to target detection in unknown clutter.
李军, 王雪松, 王涛. 基于分数阶矩估计的非参量CFAR检测[J]. 电子与信息学报, 2011, 33(3): 642-645.
Li Jun, Wang Xue-Song, Wang Tao. Nonparametric CFAR Detection Based on Fractional Moment Estimations. , 2011, 33(3): 642-645.