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The traditional Sparse Chirp Stepped-frequency ISAR imaging method has the problem of low imaging quality and large computational complexity. In view of the above problems, this paper studies a sparse Chirp Stepped-frequency ISAR imaging method based on two-dimensional fast iterative shrinkage threshold algorithm (2D-FISTA). Firstly, the two-dimensional echo model of Sparse Chirp Stepped-frequency signal is constructed. Based on this model, two-dimensional fast iterative shrinkage threshold algorithm is used to reconstruct the imaging result. This method can be reconstructed in the matrix domain directly, which avoids the computation of the vector processing method, and avoids the problem of the image quality loss of the decoupling method. The simulation results show that the proposed method is effective and has better imaging performance. Keywords-sparse chirp stepped-frequency signal; 2D-FISTA; compressive sensing; ISAR super-resolution imaging

Sparse Chirp Stepped-frequency ISAR Super-resolution Imaging Method Based on 2D-FISTA Algorithm