基于知识辅助二维的自聚焦的SAR运动目标成像
SAR Imaging of Moving Target based on Knowledge-aided Two-dimensional Autofocus
摘要：
在合成孔径雷达（SAR）处理中，由于目标运动的不确定性，运动目标的距离徙动（RCM）和方位相位误差（APE）不能得到完全补偿。因此，运动目标在SAR图像中往往会出现二维的【形】散焦。本文提出了一种SAR图像中离焦运动目标的二维自聚焦方法。新方法只需要直接估计APE，而剩余的2-D相位误差（或RCM）的计算从估计APE利用2-D相位误差（或RCM）和APE之间的解析关系。由于参数估计是利用相位误差结构的先验知识在降维空间中进行的，因此该方法在计算效率和估计精度方面都具有明显的优势。
英文摘要：
Due to uncertainty on target's motion, the range cell migration (RCM) and azimuth phase error (APE) of moving targets can't be completely compensated in synthetic aperture radar (SAR) processing. Therefore, moving targets often appear two-dimensional (2-D) defocused in SAR images. In this paper, a 2-D autofocus method for refocusing defocused moving targets in SAR images is presented. The new method only requires a direct estimate of APE, while the residual 2-D phase error ( or RCM) is computed from the estimated APE by exploiting the analytical relationship between the 2-D phase error ( or RCM) and APE. Because the parameter estimation is performed in the reduced-dimension space by exploiting prior knowledge on phase error structure, the proposed approach offers clear advantages in both computational efficiency and estimation accuracy.
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