Robust Modified Sorting Weighting CFAR detector for nonhomogeneous Gaussian environment

In this paper, we design and analyze the Modified Sorting Weighting (MSW-) Constant False Alarm Rate (CFAR) detector to improve the performance of the convenable conventional ones in homogeneous and nonhomogeneous Gaussian environments. Assuming a Swerling I (SW I) type primary target, closed forms of the detection (P
d
) and false alarm (P
fa
) probabilities of this detector are obtained. Optimum pairs of the weights that guarantee a constant P
fa
and maximize the P
d
are also obtained. Conventional CFAR detectors perform well in the homogeneous case or the presence of interference or the clutter edge. Simulation results have shown that this detector exhibits better detection performance and regulation of the P
fa
than the conventional ones in both homogeneous and nonhomogeneous situations.