Abstract
Due to the sparse nature of inverse synthetic aperture radar (ISAR) images, sparsity-driven algorithms have been developed for high-resolution ISAR imaging. Recently, alternating direction method of multipliers (ADMMs) has been introduced for sparse signal recovery. In this Letter, based on ADMM, a fast algorithm for ISAR imaging is proposed which has lower computational complexity than that of conventional sparse representation-based methods and achieves good robustness in low-signal-to-noise ratio conditions. Experimental results based on both simulations and real data of the Yak-42 airplane show the superiority of the proposed method.
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