ISAR enhancement technology based on compressed sensing

Abstract

Based on compressed sensing, an inverse synthetic aperture radar (ISAR) enhancement technology is proposed. The ISAR enhanced imaging system is constructed, and then utilising the sparsity of multi-radar signals, the optimum function for point enhancement and edge enhancement is established. Compared with spectral estimation methods, the new processing provides a higher quality ISAR image without the number estimation of scattering centres. Simulation results demonstrate the validity of the proposed processing.