Abstract：This paper gives a brief review on the Sparse-Recovery (SR)-based Space-Time Adaptive Processing (STAP) technique. First, the motivation for introducing sparse recovery into STAP is presented. Next, the potential advantages and mathematical explanation of the sparse-recovery-based STAP are discussed. A major part of this paper presents the state-of-art research results in spatio-temporal spectrum-sparsity-based STAP, including the basic frame, off-grid problem, multiple measurement vector problem, and direct domain problem. The sparse-recovery-based STAP on conformal array problem is also introduced. Finally, a summary of sparse-recovery-based STAP is provided, and the problems that need to be solved and some potential research areas are discussed.
马泽强, 王希勤, 刘一民, 孟华东. 基于稀疏恢复的空时二维自适应处理技术研究现状[J]. 雷达学报, 2014, 3(2): 217-228.
Ma Ze-qiang, Wang Xi-qin, Liu Yi-min, Meng Hua-dong. An Overview on Sparse Recovery-based STAP. JOURNAL OF RADARS, 2014, 3(2): 217-228.
