Abstract: The distinction of the undesired radar targets from the desired is one of the many important radar tasks and fixing the rate of the false alarms caused by these undesired targets is another important task which is performed by special processors within radar systems known as Constant False Alarm Rate (CFAR) processors. In this study, the Improved Switching-CFAR (IS-CFAR) processor is used and the performance detection equations have been achieved for Swerling cases (II-IV) radar targets in homogenous (Thermal noise only) environment and non-homogenous (Multiple interfering targets) environment. The existence probability equations of a thermal noise sample at homogenous environment and the existence probability equations of a reflected sample from interfering target at non-homogenous environment have been derived for each case of swerling radar targets cases (II-IV) for a single reflected pulse. The simulation results shows that the IS-CFAR processor has better performance in non-homogenous environment rather than in homogenous environment, comparing it with other CFAR processors.
Waleed Khalid Abed Ali and Gregor Alexander Aramice, 2011. Analysis of Improved Switching Constant False Alarm Rate Processor (IS-CFAR) for Different Swerling Radar Target Cases. Asian Journal of Information Technology, 10: 290-295.