Sparsity-Based Direct Data Domain Space-Time Adaptive Processing with Intrinsic Clutter Motion

作者：Yang, Zhaocheng^*; Qin, Yuliang; de Lamare, Rodrigo C.; Wang, Hongqiang; Li, Xiang

来源：Circuits, Systems, and Signal Processing, 2017, 36(1): 219-246.

DOI：10.1007/s00034-016-0301-z

• Space-time adaptive processing
• Covariance matrix taper
• Intrinsic clutter motion
• Spatio-temporal sparsity
• Direct data domain

In this paper, we propose a sparsity-based direct data domain space-time adaptive processing (D3-STAP) algorithm for airborne radar that considers the intrinsic clutter motion (ICM). The proposed D3-STAP scheme models the received returns in the presence of ICM as a sparse measurement model. Then, we derive the principle of the sparsity-based D3-STAP that uses the focal underdetermined system solution (FOCUSS) method. The proposed D3-STAP algorithm estimates the clutter covariance matrix by a Hadamard product of the covariance matrix taper (CMT) and the clutter covariance matrix estimate with the FOCUSS technique. In addition, we develop a CMT adaptation approach for the proposed D3-STAP algorithm to automatically select the best CMT. Simulation results show that the proposed algorithm outperforms the existing D3-STAP using the least-squares technique and the sparsity-based D3-STAP algorithm without CMT.

• 出版日期2017-1
• 单位中国人民解放军国防科学技术大学; 深圳大学