SAR target super resolution based on scattering center reconstruction

A super resolution reconstruction method for synthetic aperture radar (SAR) target is proposed under the condition of sparsity. The target is reconstructed by several high resolution sinc functions. By converting the super resolution problem to the least square estimation problem, relax algorithm is applied. In order to reduce the sidelobe, a hanning window is added in the frequency domain after the image is reconstructed by the sinc functions. Some experiments were conducted on the Radarsat-2 data. Results showed that compared to the l₁ norm regularization, the method proposed in this paper tended to get a higher resolution and a better performance.