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Suppression of Ghost Targets in Focusing Azimuth Periodically Gapped SAR Raw Data with Complex Iterative Thresholding Algorithm

机译:复杂迭代阈值算法抑制方位间隙周期性SAR原始数据中的幻影目标

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An algorithm is presented in this paper to focus the azimuth periodically gapped SAR (Synthetic Aperture Radar) raw data. The proposed algorithm mainly contains phase multiplication in range frequency domain and sparse reconstruction in range Doppler domain. The phase multiplication in range frequency domain aims to acquire sparser data in range Doppler domain. Then, the complex iterative thresholding algorithm is utilized to reconstruct the complete SAR data in range Doppler domain. The iterative thresholding algorithm is extended to cope with the complex SAR data. Afterwards, the traditional SAR focusing methods are capable of obtaining image from the recovered data. The proposed method performs well on suppressing ghost targets induced by gapping. Point target simulation is implemented to assess the validity of the proposed method. In addition, real SAR data experiment is also utilized to demonstrate the effectiveness of the proposed method.
机译:本文提出了一种算法来聚焦周期性间隙SAR(Synthetic Aperture Radar)原始数据。该算法主要包含距离频域的相位乘法和距离多普勒域的稀疏重构。范围频域中的相位乘法旨在获取范围多普勒域中的稀疏数据。然后,利用复杂的迭代阈值算法重建距离多普勒域中的完整SAR数据。扩展了迭代阈值算法,以应对复杂的SAR数据。然后,传统的SAR聚焦方法能够从恢复的数据中获得图像。所提出的方法在抑制由间隙引起的重影目标方面表现良好。通过点目标仿真来评估所提出方法的有效性。此外,还利用真实SAR数据实验来证明所提方法的有效性。

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