An approach to angular motion compensation in ISAR imagery

A method to reduce the blurring effects of angular rotation for ISAR (inverse synthetic aperture radar) imagery is presented. The method uses the golden-section-search algorithm in conjunction with a polar reformatting technique to find that angle which best represents the angle of rotation of the target of interest. Minimum entropy calculations are performed for each ISAR image over each angle of rotation obtained from the golden-section-search algorithm. The angle which is found to display minimum entropy will then be designated theta /sub opt/ the optimum angle of rotation estimate for which the polar-reformatted image has minimal image distortion due to angular rotation. The technique was shown to perform well under simulated conditions.<>