Multidimensional sidelobe target editing with applications to terrain scattered jamming cancellation

We consider the problem of false alarms resulting from targets in the sidelobes of an adaptive beam. While such false alarms occur in many beamforming applications, the problem is especially troublesome in radar systems designed to cancel nonstationary multipath interference (e.g., terrain-scattered jamming). Because these systems process data in multiple dimensions, false target detections are often widely separated (e.g., in angle, Doppler and/or range). We describe a general technique for automatically classifying and removing sidelobe target detections. The technique is evaluated using simulated airborne radar data that has been adaptively beamformed using our optimized 3D STAP beamformer.