Deep Learning-Based Covariance Reconstruction for STAP in Subarray-Sampled Airborne FDA Radar Systems
Airborne radar clutter exhibits pronounced spatiotemporal coupling, which makes effective suppression challenging in both the spatial and temporal domains. Space–time adaptive processing (STAP) has proven to be an effective solution, with its performance critically dependent on accurate covariance matrix estimation. Ho...