Target detection in post-STAP undernulled clutter

摘要: We describe a new detection algorithm for use with adaptively beamformed radar data. It is designed to take advantage of the priori knowledge location ground clutter azimuth-Doppler ridge. In real data, likely be non-homogeneous, leading possibility undernulled discretes appearing in adaptive beamformer output, magnitude and frequency which depend directly on choice training set nulling algorithm. The estimates such clutter, adjusts its threshold account amount residual beam. detector lies reducing number false alarms due while maintaining sensitivity areas are well-nulled by