A new CFAR method based on test cell statistics

In this paper, a new Constant False Alarm Rate (CFAR) algorithm, which is called a Modification of the Switching CFAR (SOSGO-CFAR) that takes into account the statistics of samples, is proposed. It employs a composite approach based on the Switching CFAR (S-CFAR) and Ordered statistics with Greatest Option (OSGO-CFAR). Results show that the detection performance of SOSGO-CFAR is similar to that of CA-CFAR in homogeneous background. The ability to control false alarm of the SOSGO-CFAR is close to that of OSGO-CFAR in clutter edges. The detection performance of SOSGO-CFAR is far better than that of S-CFAR in multiple target situations.