A Two-Stage Space-Time Adaptive Processing Method for MIMO Radar Based on Sparse Reconstruction

作者：Liu, Hanwei^*; Zhang, Yongshun; Guo, Yiduo; Wang, Qiang

来源：Frequenz, 2017, 71(11-12): 581-589.

DOI：10.1515/freq-2016-0106

• MIMO radar
• reduced-dimension STAP (RD-STAP)
• orthogonal matching pursuit (OMP)
• clutter suppression
• blocking interference

To effectively suppress clutter and blocking interference for MIMO radar, a two-stage STAP method based on sparse reconstruction is proposed. As interference is sparse in spatial domain, the subspace of it is estimated with only one snapshot by using Orthogonal Matching Pursuit (OMP) algorithm, and the array data is projected onto the complementary subspace of interference. In the sequel, matched-filtering is applied to the output data followed by clutter suppression with temporal and spatial freedom. The clutter suppression is utilized directly to reduced-dimension STAP (RD-STAP) algorithms. Simulation results demonstrate that the proposed method outperforms traditional methods and reduces sample requirement.

• 出版日期2017-11
• 单位中国人民解放军空军工程大学