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A novel 2D convex optimization-based compressive sensing (CS) method is presented for inverse synthetic aperture radar (ISAR) imaging. The method deals directly with the 2D signal model for the image reconstruction based on solving a convex optimization problem. The superiority of this method is that the memory usage and the computational complexity are much lower than those of the 1D CS-based ISAR...
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