ISAR resolution enhancement via compressive sensing: A comparison with state of the art SR techniques

Abstract

The applicability of Compressing Sensing (CS) to Inverse Synthetic Aperture Radar has been widely treated in the last few years. In particular, CS based image reconstruction algorithms have been developed and their effectiveness has been proven when dealing with data that are incomplete in slow time and/or frequency domain. Resolution enhancement has been identified as a case in which CS can be exploited to obtain good results even compared with state of the art super resolution techniques. In this paper an exhaustive performance analysis is performed and a numerical comparison among CS and conventional super resolution techniques is provided. Some performance indicators are defined and results are provided using real dataset.