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

机译:用GF-3 SAR卫星重新对准海上移动目标的SAR / ISAR混合方法

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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:由于自运动和海浪,移动中的船只通常会在合成孔径雷达(SAR)图像中散焦。为了聚焦非合作目标,通常将SAR反向(ISAR)技术与运动补偿一起使用。 SAR / ISAR混合方法可实现较长的相干处理间隔(CPI),在该间隔中可以使用ISAR处理来处理SAR目标,并利用SAR和ISAR的优势来生成运动目标的聚焦良好的图像。本文基于SAR / ISAR混合处理,提出了一种改进的秩一相位估计方法(IROPE)。通过在IROPE中使用迭代两步收敛方法,该方法可实现精确的相位误差,保持噪声的鲁棒性并在估计各种相位误差时表现出色。通过将其与其他聚焦算法进行比较,分析了该方法的性能,在聚光灯模式下处理高芬3(GF-3)采集的模拟数据和实际复杂图像数据。结果证明了该方法的有效性。

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