Performance of excision GO-CFAR detectors in nonhomogeneous environments

The authors analyse a new CFAR detector which is composed of an excision processor and a greatest-of (GO)-CFAR detector. The new detector is named an excision GO(EXGO)-CFAR detector. Performance of EXGO-CFARs is derived and compared with the existing excision CA(EXCA)-CFAR detectors for Swerling I target model in homogeneous and nonhomogeneous noise environments such as multiple interferers and/or clutter results show that EXGO-CFAR detectors considerably reduce the problem of excessive false alarm probability near clutter edges while maintaining good performance in other environments