A new method of motion estimation and imaging interval selection of ISAR system based on geometry invariance of rigid target

In this paper, a new method of motion estimation and imaging interval selection of ISAR System is proposed. In this method, based on the 1D-to-3D reconstruction algorithm, the motion path of the rigid target can be reconstructed firstly using the ID range data of some scatterers extracted from the high-resolution range image of ISAR. Then according to the inertia of the target, the reconstructed motion path is fitted as a smoother trace with the rotation angles estimated effectively. Finally, the Hough Transform is utilized to extract a section of linear path on the 2D plane of the two rotation angles as the selected optimum interval of the ISAR imaging. Simulation results confirm that the method we proposed is effective and can be applied flexibly in current ISAR imaging techniques.