机载FMCW SAR滑动聚光灯数据处理

Ruigang Zhang, Hui Wang, Chuhang Hu, Xiang Chen
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引用次数: 0

摘要

FMCW SAR体积小、重量轻,其机载平台容易受到气流变量的影响而产生运动错误。毫米波SAR对平台运动故障更为敏感。本文研究了采用PGA算法在粗惯性导航补偿后只提取误差的相位,然后采用PGA算法多次提取误差的相位,逐渐减少数据中的误差量,最终获得聚焦良好的滑动聚束SAR图像的特性。通过对实测数据的处理,验证了所提运动补偿算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Processing of Airborne FMCW SAR Sliding Spotlight
The FMCW SAR is small and light, and its airborne platform is prone to movement mistakes induced by airflow variables. It is more sensitive to platform motion faults in millimeter-wave SAR. This paper investigates the properties of using the PGA algorithm to extract only the phase of the error after coarse inertial navigation compensation, and then using the PGA algorithm to extract the phase of the error several times, gradually reducing the amount of error in the data, and finally obtaining a well-focused sliding spotlight SAR image. The proposed motion compensation algorithm's effectiveness is confirmed by the measured data processing.
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