Sparse ISAR Imaging via DM-2D-ADMM Algorithm

Conventional compressed sensing (CS) inverse synthetic aperture radar (ISAR) imaging algorithms convert the ISAR 2D raw echo data and imaging scene into 1D data for processing, or introduce the alternating direction multiplier method (ADMM) for sparse signal recovery. The traditional 1D algorithm is relatively complex, and the proposed 2D -ADMM algorithm significantly reduces the complexity, so a 2D-ADMM algorithm under momentum acceleration is proposed based on the existing 2D-ADMM algorithms by considering the phase error. In complex scenarios, the algorithm has faster convergence speed and higher performance than 2D-ADMM and 2D-SL0 algorithms. The superiority of the algorithm is demonstrated based on simulation data and measured data.