Compressive Radar Imaging Methods Based on Fast Smoothed L0 Algorithm

Abstract One of the problems that radar imaging technique based on compressed sensing (CS) must confront is the relatively high computation complexity. The sparse representation model of stepped frequency radar echo is established and a 2D joint imaging method based on 2D-SL0 is proposed, which makes the best of the 2D separability of sparse dictionary and compressive measurement, thus has greatly improved efficiency. The performance of CS imaging methods, including SL0, 2D-SL0 under 2D joint model and iterative SL0, MSL0 under 2D decoupled model, are analyzed and compared theoretically. Experiment results verify the validity and superiority of the proposed method.