Iteratively reweighted complex approximate message passing for ISAR imaging with cluster sparse structure

An iteratively reweighted complex approximate message passing algorithm is proposed for cluster sparse inverse synthetic aperture radar imaging. The proposed algorithm improves the recovery performance of cluster sparse signal. A pattern-coupled weight update rule is introduced to establish a coupling relation between the sparsity patterns of neighboring coefficients. Real radar data results demonstrate the superior reconstruction performance in terms of reconstruction accuracy and computation time.