Analysis of CFAR Detection in a Pareto Type II Clutter with Multiple Pulses

Constant False Alarm Rate (CFAR) detection with multiple pulses provides improvements in detection performance for homogeneous or heterogeneous background. Considering the integration of multiple pulses, this communication focuses on the extension of the previous decision rules labeled GM-CFAR (Geometric Mean), GO-CFAR (Greatest Of), SO-CFAR (Smallest Of) and OS-CFAR (Order Statistic) procedures already developed for the case of target detection embedded in a Pareto type II clutter with a priori known of the scale parameter. In this work, novel test statistics are obtained in closed forms by applying the logarithmic transformation that enables true Gaussian CFAR processes. In the presence of Swerling II targets, the performances of proposed CFAR detectors are influenced by SCR (Signal-to-Clutter Ratio), number of samples and number of integrated pulses.