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A modified chirp-scaling algorithm for spaceborne squinted sliding spotlight SAR data processing

机译:星载斜视滑动聚光SAR数据处理的改进线性调频缩放算法

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A modified chirp scaling (CS) algorithm for processing spaceborne squinted sliding spotlight synthetic aperture radar (SAR) data is proposed in this paper. For squinted sliding spotlight mode, both the squint angle and azimuth beam steering make the spectral aliasing in azimuth. To solve this problem, the linear range cell migration correction (LRCM) and De-rotation are adopted firstly. Then a modified CS kernel is proposed to focus the data. What's more, the azimuth nonlinear CS (NCS) method is used to solve the limited depth-of-azimuth-focus (DOAF) problem caused by the first step. Finally, the geometric distortion is corrected in the range frequency domain. The effectiveness of the proposed algorithm is validated by simulation results.
机译:提出了一种改进的线性调频标度(CS)算法,用于处理斜视斜视聚光合成孔径雷达(SAR)数据。对于斜眼滑动聚光灯模式,斜视角度和方位角光束转向都使方位角出现频谱混叠。为了解决这个问题,首先采用了线性范围像元迁移校正(LRCM)和反旋转。然后,提出了一种改进的CS内核来集中数据。此外,使用方位角非线性CS(NCS)方法来解决第一步引起的有限方位角聚焦(DOAF)问题。最后,在范围频域中校正几何失真。仿真结果验证了所提算法的有效性。

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