Autofocusing of ISAR images based on entropy minimization

A novel autofocusing technique is developed for random translational motion compensation in inverse; synthetic aperture radar (ISAR) imaging of object s. This technique is based on aa entropy minimization, principle and valida ted via a nonparametric estimation method. Images of a simulation and a rea l flying aircraft are used for illustration. Images of encouraging quality: confirm the feasibility of autofocusing the radar images by just the requi rement of minimizing the image entropy.