Analysis of some CFAR detectors in nonhomogenous environments based on switching algorithm

In radar signal processing distinction of false targets from real targets and fixing their rate in different radar environments is desirable. In this paper, at first, Switching Constant False Alarm Rate (S-CFAR) processor has been improved to achieve Improved SCFAR in order to fix the false alarm rate not only in homogenous environment only with thermal noise but also in non-homogenous environment, consisting clutter edge and multiple targets in the background Gaussian noise. Then in continue, a new CFAR detector which is composed of an excisior and a Switching CFAR detector, in an environment with K distribution, has been introduced. The new detector is named an Excision Switching CFAR (EXS-CFAR). The equations have been achieved by assuming the targets in Swerling I and closed form. The simulation results confirm that the introduced processors can fix the false alarm rate in both homogenous and non-homogenous environment with less detection loss. In addition, this method is simpler in implementation comparing with other samples ordering processors.