Analysis and Improvement of Regularization Based on l_k Norm in SAR Complex-Imagery Domain
基于l_k范数的SAR复图像域正则化方法分析及改进

Regularization technique can accomplish super-resolution and noise suppression by imposing prior information, which provides high quality image for target recognition. The iterative process of SAR complex imagery domain regularization based on lk norm is analyzed to reveal the inherent principles of super-resolution. Because of the inconsistent resolution problem of the original algorithm for different amplitude scattering centers, an improved method based on varying parameters is proposed. Simulation experiments and computational results of measured MSTAR data prove the effectiveness of the proposed method.