Detection in Range-Heterogeneous Weibull Clutter

The paper deals with detection in range-heterogeneous Weibull clutter. Heterogeneity is defined as a sharp transition from one homogeneous region to another with a different scale and/or shape parameter. The proposed method, firstly, tests the homogeneity of the window. If it is found to be heterogeneous, the transition point is estimated and the threshold is set accordingly. It is known that usual CFAR methods suffer from target masking or increased false alarm rate when operated in non-Rayleigh or range-heterogeneous clutter. The proposed algorithm is shown to perform well in homogeneous or heterogeneous Weibull clutter environment and yield better performance than commonly known methods.