Forward-Looking Super-Resolution Radar Imaging via Reweighted L1-Minimization

A forward-looking scanning radar with a real aperture requires sharp beam width to achieve high cross-range resolution. Also, range resolution is limited by the bandwidth of the transmitted signal. We propose a method for yielding a 2D super-resolution radar image by reweighted l(1)-minimization. Assuming reflectivity distribution of the frontal ground is sparse, - when there only exists dominant scattering points on the ground - imaging problem can be cast to compressive sensing framework so that the super-resolution radar image can be obtained. The super-resolution imaging radar can be adopted as a seeker for the frontal ground surveillance.