Interferometric ISAR imaging for 3-D geometry of uniformly rotating targets based on least squares estimation method

Interferometric Inverse Synthetic Aperture Radar (InISAR) images are widely used for 3-D reconstruction of maneuvering targets in a short observation time. InISAR system is always used for target classification and recognition. Nevertheless, the image plane depends on the target's own motions and its relative position with respect to the radar. To overcome this problem, this paper proposes an InISAR system containing two baseline perpendicular to each other. The echo signal received by each antenna is focused by the respective reference range. The target angular velocity and Euler angle are estimated by using the interferometric phase with the least square method. Then, the scatterers 3-D coordinates are estimated. Simulation experiments show the effectiveness and robustness of the proposed method.