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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >An Azimuth-Dependent Phase Gradient Autofocus (APGA) Algorithm for Airborne/Stationary BiSAR Imagery
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An Azimuth-Dependent Phase Gradient Autofocus (APGA) Algorithm for Airborne/Stationary BiSAR Imagery

机译：机载/静止BiSAR图像的方位角相关相位梯度自动对焦（APGA）算法

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摘要

In airborne/stationary bistatic-synthetic-aperture-radar imaging, translational invariance was no longer valid. After range cell migration correction, the range-compressed signal under the same range gate exhibited azimuth-dependent FM rates that made the motion-induced phase error difficult to separate from the echoes. To solve this problem, an azimuth-dependent phase gradient autofocus (PGA) algorithm was proposed. Different from the conventional PGA, the residual quadratic phase arising from the azimuth-dependent FM rates was additionally estimated and compensated. As the influence of the azimuth-dependent FM rates was greatly reduced, a phase gradient estimator was subsequently applied for accurate phase error retrieval. Acquired raw data were analyzed to verify the proposed algorithm.
机译：在机载/固定双基地合成孔径雷达成像中，平移不变性不再有效。经过距离单元迁移校正后，在相同距离门下的距离压缩信号表现出与方位角有关的FM速率，这使得运动引起的相位误差很难与回波分离。为了解决这个问题，提出了一种与方位角有关的相位梯度自动聚焦（PGA）算法。与传统的PGA不同，额外估算和补偿了由方位角相关的FM速率引起的残余二次相位。由于依赖于方位的FM速率的影响大大降低，因此随后将相位梯度估计器用于精确的相位误差检索。分析获得的原始数据以验证所提出的算法。

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