Reduced rank space-time adaptive radar processing

This paper is concerned with the performance of reduced rank space-time adaptive processing (STAP) for radar signals. The motivation for rank reduction is that optimal full-rank STAP requires many more weights than can be supported on airborne and space-segment platforms. This paper compares the steady-state STAP performance for the fully adaptive joint domain (space-time) optimal processor, the partially adaptive factored time-space processor, the principal component technique, and the cross-spectral metric based processor. Data collected from the ARPA Mountaintop program is utilized to validate the results