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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing. >Quasi-Polar-Based FFBP Algorithm for Miniature UAV SAR Imaging Without Navigational Data
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Quasi-Polar-Based FFBP Algorithm for Miniature UAV SAR Imaging Without Navigational Data

机译：无导航数据的微型无人机SAR成像的基于准极化的FFBP算法

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摘要

Because of flexible geometric configuration and trajectory designation, time-domain algorithms become popular for unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) applications. In this paper, a new quasi-polar-coordinate-based fast factorized back-projection (FFBP) algorithm combined with data-driven motion compensation is proposed for miniature UAV-SAR imaging. By utilizing wavenumber decomposition, the analytical spectrum of a quasi-polar grid image is obtained, where the phase errors arising from the trajectory deviations can be conveniently investigated and the phase autofocusing can be compatibly incorporated. Different from the conventional FFBP based on a polar coordinate system, the proposed algorithm operates in a quasi-polar coordinate system, where the phase errors become spacial invariant and can be accurately estimated and easily compensated. Moreover, the relationship between phase errors and nonsystematic range cell migration (NsRCM) is revealed according to the analytical image spectrum, based on which the NsRCM correction is developed to further improve the image focusing quality for high-resolution SAR applications. Promising experimental results from the raw data experiments of miniature UAV-SAR test bed are presented and analyzed to validate the advantages of the proposed algorithm.
机译：由于灵活的几何配置和轨迹指定，时域算法在无人机（UAV）合成孔径雷达（SAR）应用中变得很流行。本文提出了一种新的基于准极坐标的快速分解背投影（FFBP）算法，结合数据驱动的运动补偿，用于微型UAV-SAR成像。通过利用波数分解，获得了准极性网格图像的分析光谱，可以方便地研究由轨迹偏差引起的相位误差，并且可以兼容地合并相位自动聚焦。与基于极坐标系的传统FFBP不同，该算法在准极坐标系下运行，在该系统中，相位误差变得空间不变，可以准确估算和轻松补偿。此外，根据解析图像光谱揭示了相位误差与非系统性距离像元迁移（NsRCM）之间的关系，并在此基础上开发了NsRCM校正功能，以进一步提高高分辨率SAR应用的图像聚焦质量。提出并分析了微型UAV-SAR试验台原始数据实验中的有希望的实验结果，以验证该算法的优点。

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