| 摘要: |
| 本文提出了一种能够用于机载条带式合成孔径雷达（SAR）运动误差估计的多孔径图像偏移自聚焦算法。首先，将条带SAR数据分割为有重叠的估计子块，各个子块又分为具有重叠场景的多个子孔径，并通过后向投影算法在距离多普勒域构建子孔径图像；然后，对各个子孔径图像进行互相关处理，在分析影响互相关函数的因素的基础上，给出了求解各子图像之间的重叠场景相对偏移的方法；最后，给出了子块内的误差估计方法与子块间的误差拼接方法。对实际数据的处理结果表明，所提算法能够精确且鲁棒地估计机载条带SAR的运动误差。 |
| 关键词: 合成孔径雷达 自聚焦 运动补偿 雷达信号处理 |
| DOI：DOI:10.3969/j.issn.1672-2337.2020.05.014 |
| 分类号:TN958 |
| 基金项目: |
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| Multi-Aperture Mapdrift Autofocus Algorithm for Stripmap SAR |
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LI Jincheng, GUO Deming
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Nanjing Research Institute of Electronics Technology, Nanjing 210039, China
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| Abstract: |
| This paper proposes a multi-aperture mapdrift autofocus algorithm for airborne synthetic aperture radar (SAR) in stripmap mode. First, the stripmap SAR data are split into the overlapping estimation blocks, which are then divided into sub-apertures with overlapping scenario. Second, the coherence process is implemented among sub-images. Then the paper gives the method to calculate the mapdrift based on the analysis of the main factors, which affect the coherence function. Third, the approaches to estimate and connect the motion errors are given. Experiments on real airborne stripmap SAR data demonstrate the precision and robustness of the proposed autofocus method. |
| Key words: synthetic aperture radar autofocus motion compensation radar signal processing |
