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Sparse imaging based on SAR complex image domain

In this paper, a novel synthetic aperture radar (SAR) imaging algorithm based on two-dimensional (2-D) compressed sensing (CS) is presented. First, a complex image is generated by applying a traditional imaging method to raw echoes. Then, the basis pursuit (BP) method is applied to a CS framework to obtain the scattering coefficients of target points from the complex image. Since CS is applied jointly in range and azimuth, this algorithm utilizes the sparsity of the target scene fully. Experimental results using the real field data demonstrate the effectiveness of our algorithm.