Linear Regression Based Clutter Reconstruction for STAP
Linear Regression Based Clutter Reconstruction for STAP is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include clutter, artificial intelligence, radar envelope, computer science, constant false alarm rate, radar, Space-time adaptive processing, covariance matrix, pattern recognition, algorithm, and synthetic aperture radar. The authors consider the extremely heterogeneous case, i.e., the number of available training samples is limited to one.