Review of reduced rank space-time adaptive processing for airborne radar

Abstract

This paper overviews reduced rank space-time adaptive processing (STAP) for clutter suppression in airborne early warning (AEW) radars. A new hybrid low dimensional STAP (HSTAP) approach without high implementation cost is also discussed by assigning reasonably the number of system degrees of freedom (DOFs) between the spatial and temporal domains. The clutter rejection performance of the HSTAP method is superior to conventional cascaded space-time processing (CST), which is verified by computer simulations.