Interferometric baselines play an important role in imaging system design and data processing of Interferometric inverse synthetic aperture radar (InISAR), and determine the accuracy of image restoration This dissertation has been launched to study baseline variation and non-orthogonal interferometic baselines configuration as follow.Firstly, interferometic phase compensation method for baseline variation in InISAR imaging is studied. This paper discusses several forms of baseline variation, and analyzes the effects of the baseline variation and its estimate error on interferometic phase, and deduces variation range of baseline. Then, the interferometic phase compensation method based on 1-D range profiles is proposed. In this method, the compensation of interferometic phase is achieved by extracting the phase of each scattering point in one range index separately. Simulation results show the effectiveness of this compensation method.Secondly, the 3-D InISAR imaging method of transforming non-orthogonal interferometic baselines to virtual orthogonal baselines is studied. The orthogonalization of non-orthogonal interferometic baseline is proposed to modify the positions of all scatter in 3-D imaging effectively. In the following, this paper further analyzes the effect of interferometic baselines rotation on interferometic phase and image restoration, and corrects the offset of scattering point of 3-D imaging by using the above method. Simulation results show that this method has high accuracy of image restoration and better anti-noise performance. |