SAR imaging from compressed measurements based on L1/2 regularization

In this paper, a novel synthetic aperture radar (SAR) imaging method based on L_1/2 regularization is proposed. Our method implements SAR imaging from compressed measurements with high resolution, enhanced features, reduced sidelobes and suppressed artifacts. Real SAR data experiments are implemented to demonstrate the outperformance of our method. The experiment results demonstrate that our method needs far below the traditional Nyquist rate to guarantee successful imaging. Compared to the prevalent L₁ regularization-based methods, there is a significant reduction of the sampling rate for SAR imaging. The sampling rate used by our method is about half of the L₁ regularization-based methods in the real SAR data experiments.