地基SAR子图相干合成快速成像算法

Ground-based SAR Fast Imaging Algorithm Based on Sub-image Combination

  • 摘要: 地基合成孔径雷达(Ground Based Synthetic Aperture Radar, GB-SAR)差分干涉技术可获得亚毫米级的测量精度,在人造大型建筑物和地表形变监测领域具有广泛的应用前景。在成像处理方面,地基SAR成像几何构型具有合成孔径极短、方位波束宽、成像范围大的特点,与传统机载、星载SAR系统有很大差别,现有成像算法大都不能有效满足地基SAR实时成像处理需求。为此,本文提出一种基于子图像相干合成的地基SAR快速成像算法,能够实现地基SAR宽角度、近远场混合大场景数据的快速处理,得到伪极坐标系下成像结果。最后,利用仿真数据和实测数据对本算法进行了验证,证明了算法的有效性。

     

    Abstract: Ground-Based Synthetic Aperture Radar (GB-SAR) can achieve sub-millimetric deformation measurement accuracy, and has huge potential in monitoring displacement of both natural terrain and man-made structures. The data acquisition geometry of GB-SAR is characterized by highly sub-optimal aperture length, wide-swath, and full-field scenarios, which is different from that of traditional SAR modes. Therefore, most of the now existed imaging algorithms are very ineffective under GB-SAR cases. Aiming at this issue, an algorithm based on sub-image combination technique is proposed. Problems introduced by GB-SAR geometry are well addressed. The final image is formatted in a pseudo-polar coordinate. At last, the performance of this algorithm is validated both with numerical simulations and real GB-SAR data.

     

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