A Novel 3-D Imaging Method Based on Shipborne ISAR

A 3-D inverse synthetic aperture radar (ISAR) image can provide target's information in the range, azimuth, and height dimensions. Since the height resolution is related to the variant observing angles, the existing 3-D ISAR imaging methods are highly dependent on the radar's hardware complexity (two or more sensors). In this paper, we propose a novel 3-D shipborne ISAR imaging method, which utilizes the maneuvering movement of one single shipborne radar to obtain the height resolution, and hence, the restriction on the hardware complexity is relaxed. Moreover, a novel cubic chirplet decomposition algorithm based on Radon transform is proposed to estimate the signal parameters, and additional data from narrow-band tracking radar and shipborne attitude indicator is used for image scaling and distortion elimination. Therefore, the high-quality 3-D ISAR image can be achieved. Simulation results verify the effectiveness of the proposed methods.