Simplifying the computational aspects of STAP

Space-time adaptive processing (STAP) holds the potential to improve weak target detection from airborne radar platforms. However, the computational load and nonhomogeneous environments are two issues seriously limiting practical STAR implementation. We address the former issue by considering approximate numerical techniques appropriate for airborne radar STAP. Reduced computational load makes greater weight update rates possible, thereby allowing localized STAP processing in range and application of improved weight training strategies to mitigate difficulties associated with the latter issue. We verify the utility of our approach using computer simulation and measured data from the Multichannel Airborne Radar Measurements (MCARM) program.