Observation data obtained from the Four-Dimensional(4D) Synthetic Aperture Radar(SAR) system is sparse and non-uniform in the baseline-time plane.Hence,the imaging results acquired by traditional Fourier-based methods are limited by high side lobes.Compressive Sensing(CS) is a recently proposed technique that allows for the recovery of an unknown sparse signal with overwhelming probability from very limited samples.However,the standard CS framework has been developed for real-valued signals,and the imaging ...
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