A Focusing Algorithm for Circular SAR Based on Phase Error Estimation in Image Domain
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摘要: 残余运动误差是影响高分辨率圆迹SAR图像获取的首要原因。该文针对回波数据域信杂比较低、相位误差跨距离分辨单元的问题, 提出了一种基于图像域估计相位误差的圆迹SAR聚焦算法。该方法首先对强点目标图像进行加窗截取, 然后从图像中重建回波估计方位向的相位误差, 计算距离向徙动误差, 最后通过对回波数据补偿相位误差完成跨距离分辨单元的徙动矫正和方位向聚焦, 获取高质量的圆迹SAR图像。仿真和实际数据处理结果验证了该方法的正确性和有效性。
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关键词:
- 合成孔径雷达(SAR) /
- 圆迹合成孔径雷达(CSAR) /
- 运动补偿 /
- 回波重建 /
- 相位梯度
Abstract: Residual motion error is common in high-resolution circular Synthetic Aperture Radar (SAR) image defocusing. The Signal-to-Clutter Ratio (SCR) in echo data domain is relatively low; thus, the phase error spans several range bins. To solve this problem, we propose a focusing algorithm for circular SAR based on phase-error estimation in the image domain. The method estimates the point-target image window interception and then the phase error from echo regeneration in the defocused image. Subsequently, the range migration error is calculated, and finally, the phase error in the echo data is compensated for azimuth focusing and range cell migration correction. Simulation and real-data processing verified the proposed method. -
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