【摘 要】
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Dear editor,rnSparse signal processing techniques have been widely used after being introduced to synthetic aperture radar (SAR) imaging, and have shown desirab
【机 构】
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College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautic
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Dear editor,rnSparse signal processing techniques have been widely used after being introduced to synthetic aperture radar (SAR) imaging, and have shown desirable potential in imaging performance improvement compared with traditional matched filtering (MF) based methods [1, 2].However, typical Lq, q ∈ [0, 1]-norm regularization recovery algorithms for sparse SAR imaging, e.g., iterative soft thresholding algorithm (IST) [3], orthogonal matching pursuit (OMP) [4], can improve the imaging performance of prominent targets only rather than preserve the phase and the statistical distribution of background, i.e., none targetareas in the recovered sparse image.
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