ISAR rotational motion compensation using entropy metric

Inverse Synthetic Aperture Radar (ISAR) is an efficient tool for providing image from moving targets. When the target´s maneuverability is not too serious, conventional FFT imaging algorithm is enough for providing focused image. But the target being imaged is often engaged in complicated maneuvers. So autofocusing techniques are needed. We can classify these techniques into two main categories: Parametric and nonparametric algorithms. Minimum entropy method is one of the nonparametric autofocusing methods. In this paper we present a new algorithm for autofocusing ISAR images based on entropy criterion. Simulation results show the effectiveness of the proposed algorithm.