CFAR detection using two scale invariant functions in heterogeneous Weibull clutter

In this paper, we considered the constant false alarm rate (CFAR) detector in presence of Swerling 1 interfering targets surrounded in Weibull background. The proposed CFAR detector is inspired from a general test statistic that is given as a function of two selected scale invariant functions. It is based on the well known Weber-Haykin Order Statistics CFAR (WHOS-CFAR) detector and is given in terms of three ranked samples. Even in the face of several interfering targets, the investigation of the false alarm regulation demonstrates the robustness with respect to scale and shape clutter parameters. Moreover, through simulated and IPIX (Intelligent PIXel X-band radar) real data, the performance of the above WHOS-CFAR detector is checked for both homogeneous and heterogeneous environments and achieves the CFAR-ness property with immunity to circumstances involving interfering targets.