ISAR image focusing using a genetic algorithm

This paper presents the use of Genetic Algorithms as a search method for Inverse Synthetic Aperture Radar (ISAR) image focusing. Although motion estimation using joint time-frequency representations allows much of the blurring to be removed, there remain noticeable effects due to imperfect compensation. The Genetic Algorithm is used as a fine tuning process in which a measure of focus is used as the fitness function corresponding to motion parameter values which make up each gene. ISAR image examples from simulated and real data are shown