2D SAR imaging scheme based on compressive sensing

Abstract

Synthetic aperture radar (SAR) processing is assumed to start with a demodulated baseband signal and attempt to solve ground reflectivity. An expression of two-dimensional SAR echo data in the discrete domain is presented. To meet the requirements of the processing power and reduce the storage, a compressive sensing framework is adopted to solve the ground reflectivity. By a small number of signal samplings, the imaging is constructed efficiently and has a higher resolution. Promising results were obtained by several experiments. © The Institution of Engineering and Technology 2014.