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A Hybrid SAR/ISAR Approach for Refocusing Maritime Moving Targets with the GF-3 SAR Satellite

机译:一种混合SAR / ISAR方法,用于重新聚焦与GF-3 SAR卫星的海洋移动目标

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摘要

Due to self-motion and sea waves, moving ships are typically defocused in synthetic aperture radar (SAR) images. To focus non-cooperative targets, the inverse SAR (ISAR) technique is commonly used with motion compensation. The hybrid SAR/ISAR approach allows a long coherent processing interval (CPI), in which SAR targets are processed with ISAR processing, and exploits the advantages of both SAR and ISAR to generate well-focused images of moving targets. In this paper, based on hybrid SAR/ISAR processing, we propose an improved rank-one phase estimation method (IROPE). By using an iterative two-step convergence approach in the IROPE, the proposed method achieves accurate phase error, maintains robustness to noise and performs well in estimating various phase errors. The performance of the proposed method is analyzed by comparing it with other focusing algorithms in terms of processing simulated data and real complex image data acquired by Gaofen-3 (GF-3) in spotlight mode. The results demonstrate the effectiveness of the proposed method.
机译:由于自动运动和海浪,移动船通常在合成孔径雷达(SAR)图像中散焦。为了聚焦非合作目标,逆SAR(ISAR)技术通常与运动补偿一起使用。混合SAR / ISAR方法允许长期相干处理间隔(CPI),其中SAR目标被处理有ISAR处理,并利用SAR和ISAR的优点,以产生可聚焦的移动目标的图像。本文基于混合SAR / ISAR处理,我们提出了一种改进的等级 - 单相估计方法(IROPE)。通过使用IROPE中的迭代两步收敛方法,所提出的方法实现了精确的相位误差,使稳定性保持噪声并在估计各种相位误差时执行良好。通过将其与在聚光灯模式中的GaoFeN-3(GF-3)获取的模拟数据和真实的复杂图像数据中与其他聚焦算法进行比较来分析所提出的方法的性能。结果证明了该方法的有效性。

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