Abstract
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 those with multiple interferers and/or clutter edges. The 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
