Robust two-dimensional ISAR imaging under low SNR via compressed sensing

The intrinsic sparsity of the ISAR signal provides a foundation to apply compressed sensing (CS) to reconstruct highresolution ISAR imagery. In this paper, a novel two-dimensional CS-based approach is presented for ISAR image generation. It is denoted that through CS technique, the data rate has been reduced in both range and azimuth to obtain high-resolution ISAR image. The proposed method can get almost the same image by using fewer measured data compared with the conventional imaging algorithm and guarantee robust recovery in case of low SNR. Experimental results demonstrate the effectiveness and feasibility of the method.