ISAR super-resolution imaging based on sparse representation

Super-resolution imaging technique can improve resolution of ISAR image. Traditional methods based on spectrum estimation need to know the number of scattering centers in advance, and match two-dimensional poles in two-dimensional imaging. This paper researches sparsity of ISAR frequency signal and two-dimensional signal, and make super-resolution imaging equal to signal sparse representation. By Basic Pursuit algorithm, a clearer image is obtained without the number of scattering centers estimation and match processing.