Three-Dimensional Geometry Reconstruction of Spin Target based on Distributed ISAR Images Entropy

Traditional single-station ISAR surveillance suffer from target structural imformation loss and attitude sensitivity. In this paper a three-Dimensional geometry reconstruction of spin target based on distributed ISAR image entropy is proposed. First each ISAR image is scaled based on minimun entropy mehtod. Second combined with the effective rotation speed for each ISAR images, the target self-spin vector is estimated. Finally, the ISAR sequence energy accumulation method is used to reconstruct target 3D structure. Experimental results based on the simulated point model and electromagnetic simulation validate the effectiveness of the proposed method.