圆迹SAR系统DEM提取及运动补偿技术研究
[Abstract]:Circular synthetic Aperture Radar (Circular Synthetic Aperture) is a new remote sensing imaging system with 3D reconstruction capability. Focusing imaging in circular track SAR mode is dependent on the height of scene target, and under the influence of motion error, the focus quality of image reconstructed by circular track SAR echo signal decreases, defocusing does not exist only along azimuth direction. The realization of motion compensation is difficult. Therefore, based on the characteristics of circular trace SAR system, this paper first studies the method of scene DEM extraction in circular SAR mode, then discusses the circular trace SAR echo imaging based on non-uniform Fourier transform (NUFFT), and then realizes the non-ideal track. Motion compensation of reconstructed circular SAR images. The main work of this thesis is as follows: 1) the research of scene DEM extraction method based on circular trace SAR mode. Firstly, the phase error of circular track SAR full aperture and subaperture reconstruction images is theoretically analyzed under the condition of height error. Then, the relationship between target positioning error and height error in sub-aperture image is studied, and then the algorithm principle of extracting target height in circular SAR mode is introduced, and the DEM information of the whole scene is obtained. Finally, the validity of the algorithm is verified by programming and simulation. 2) Research on circular SAR imaging and motion compensation algorithm based on Non-Uniform Fast Fourier transform. Aiming at the defect that the interpolation of traditional imaging algorithm will cause errors to affect the imaging quality, a circular track SAR imaging algorithm based on NUFFT is studied in this paper, which can reduce sidelobe and improve imaging quality. Then, the motion error model of circular track SAR is analyzed, and the motion error of each sub-aperture image is estimated by using phase gradient autofocus algorithm based on NUFFT, which is compensated to each sub-aperture image. Finally, the compensated sub-aperture image is spliced into a full aperture focusing image. The feasibility of the algorithm is also verified by programming simulation.
【学位授予单位】:南京邮电大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN957.52
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