2D Imaging algorithm of spaceborne SAR based on compressive sensing

To reduce the data transmission load of spaceborne SAR, this paper proposes a 2D imaging scheme based on compressive sensing (CS). First the sparse characteristics of spaceborne SAR echoes are analyzed, and then the echoes´ sparse model and the targets´ restore matrix are established. The minimum l₁ norm algorithm is used to reconstruct the compressed data in distance and azimuth dimensions, and at last the low-load, high-resolution image is got. The simulation results prove the validity of the algorithm.