2D uesprit superresolution SAR imaging algorithm

One of the driving forces of the development of SAR image formation has been to obtain better and better image resolution. Conventional radar imaging methods based on Fourier transform provide good resolution as long as the backscattered data is available over a large bandwidth and a sufficient aspect region. The paper proposes a 2D Unitary ESPRIT superresolution SAR imaging method exploiting that the SAR image in phase history domain is a band-pass function with a main frequency support domain. Thus, the problem of superresolution SAR imaging is transformed to solve sinusoid harmonic estimation, which can be solved by 2D Unitary ESPRIT. From the experiments using simulation and measured data, we can see better resolution obtained by the method of the paper than the FFT method.