Analysis of regularization based on lk norm in SAR complex-imagery domain

Synthetic aperture radar (SAR) target recognition needs high quality image. This can be realized by the regularization method, which is beneficial to super-resolution and noise suppression by utilizing prior information. Via analyzing the iterative process of SAR complex imagery domain regularization based on 4 norm, the inherent principles of super-resolution is revealed. On the basis of the process, the essential reason of inconsistent resolution of the original algorithm is exposed and a modified method based on weighted amplitude is presented. Experimental results on synthetic scene and real MSTAR data prove the validity of our approach.