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Comparison of synthetic-aperture radar autofocus techniques: phase gradient versus subaperture

机译:合成孔径雷达自动对焦技术的比较:相位梯度与子峰值

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Two methods of focusing synthetic aperture radar (SAR) images are compared. Both a conventional subaperture cross-correlation method and a new phase gradient autofocus (PGA) algorithm developed at Sandia National Laboratories are shown to perform well if high-order phase errors are not present. With the introduction of significant high-order phase errors $LB@e.g., due to uncompensated platform motion$RB@, both algorithms suffer a loss in performance. However, relative performance degradation is less for PGA than for the subaperture focusing technique. An explanation is presented for the observed behavior of the two autofocus techniques.
机译:比较了两种聚焦的聚合孔径雷达(SAR)图像的方法。如果不存在高阶相位误差,则显示出在桑迪亚国家实验室开发的传统子型互相关方法和新的相位梯度自动对焦(PGA)算法。随着显着的高阶阶段错误的推出至关稿至llb@e.g,由于未偿定的平台运动$ RB @,这两种算法都遭受了性能损失。然而,对于PGA而言,相对性能劣化比对于子射线聚焦技术较少。提出了两个自动对焦技术的观察行为的解释。

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