A Novel ISAR Imaging Algorithm for Maneuvering Targets Based on Sparse Signal Representation

A novel imaging algorithm is proposed for inverse synthetic aperture radar (SAR). Sparse signal representation, with great flexibility in matching structure in the data, can be used for maneuvering targets imaging. However, for complex-valued radar signals, the popular Basis Pursuit and FOCUSS (FOcal Underdetermined System Solver) algorithms have big computation. An efficient iterative method is presented as a novel imaging algorithm, which was first proposed for regularized problems. Applying the new algorithm into simulating and real radar data can obtain ISAR images with good quality. It shows that the proposed method is an efficient and a promising ISAR imaging method for maneuvering targets.