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A Frequency Domain Backprojection Algorithm Based on Local Cartesian Coordinate and Subregion Range Migration Correction for High-Squint SAR Mounted on Maneuvering Platforms

机译:基于局部笛卡尔坐标和子区域范围偏移校正的机动平台高斜视SAR频域反投影算法

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摘要

Accurate range modeling, cross-range-dependent range migration, and space-variant Doppler parameter are main issues to be solved in processing high-squint synthetic aperture radar (SAR) data acquired from maneuvering platforms. A frequency domain backprojection algorithm, based on local Cartesian coordinate (LCC) and subregion range cell migration correction, is proposed to deal with these problems. With the proposed algorithm, the range model is built in an LCC system to accurately match the signal characteristics after range walk correction. Then, the compensation of cross-range-dependent range migration is implemented based on properly divided subregions after azimuth spectrum filtering. Finally, the space-variant Doppler parameter and higher order phase terms are coherently integrated in range-Doppler domain to get the focused subregion images with full resolution of the synthetic aperture. The final image of the entire scene is obtained by directly connecting all subregion images. The results of simulated and real SAR data validate the proposed algorithm.
机译:在处理从机动平台获取的高斜视合成孔径雷达(SAR)数据时,要解决的主要问题是精确的距离建模,与跨距离有关的距离偏移以及空变多普勒参数。针对这些问题,提出了一种基于局部笛卡尔坐标(LCC)和子区域范围单元偏移校正的频域反投影算法。利用所提出的算法,在LCC系统中构建了距离模型,以精确匹配距离游动校正后的信号特性。然后,基于方位角频谱滤波后,基于适当划分的子区域实现跨范围依赖的距离迁移的补偿。最后,将空变多普勒参数和高阶相位项相干集成在距离多普勒域中,以得到具有合成孔径全分辨率的聚焦子区域图像。通过直接连接所有子区域图像获得整个场景的最终图像。仿真和真实SAR数据的结果验证了该算法的有效性。

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