A robust CFAR detector in non-homogenous environment

In this paper, a robust CFAR detector, composed of an automatic dual censoring algorithm and the cell averaging CFAR detector, is proposed for non-homogenous environment. The new detector is named an automatic dual censoring cell averaging (ADCCA). The proposed detector does not require any prior knowledge about the background environment and uses two threshold values to reject the unwanted samples in the reference window. The performance of the proposed detector is evaluated and compared with those of the CA, OS and ACCA-OVD CFAR detectors. The simulation results show that the ADCCA-CFAR detector not only provides low loss CFAR performance in homogenous background but also performs robustly in presence of interfering targets and clutter edge situations.