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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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