首页> 外文期刊>EURASIP journal on advances in signal processing >Wavefront Reconstruction of Elevation Circular Synthetic Aperture Radar Imagery Using a Cylindrical Green's Function
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Wavefront Reconstruction of Elevation Circular Synthetic Aperture Radar Imagery Using a Cylindrical Green's Function

机译:基于圆柱格林函数的高程圆形合成孔径雷达图像波前重构

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Elevation Circular Synthetic Aperture Radar (E-CSAR) is a novel radar modality used to form radar images from data sets acquired along a complete or even a segment of a cylindrical geometry above a given scan area. Due to the nonlinear nature of the target signatures on the E-CSAR data sets, the collected data must be focused. In this paper, a novel E-CSAR reconstruction algorithm is proposed. The proposed method uses a new formulation of the Green's function of an E-CSAR scan geometry in which the phase components introduced by the scan geometry can be clearly identified and their effects can be effectively compensated. Additionally, theoretical aspects of the point spread function related to this new Green's function were determined. The feasibility of the proposed technique was assessed using experimental data sets. The proposed method yielded spatially accurate images and exhibited an average execution time in the order of minutes.
机译:高程圆形合成孔径雷达(E-CSAR)是一种新颖的雷达模式,用于从沿给定扫描区域上方整个或什至一部分圆柱几何图形段采集的数据集形成雷达图像。由于E-CSAR数据集上目标签名的非线性性质,因此必须集中收集的数据。本文提出了一种新的E-CSAR重建算法。所提出的方法使用了E-CSAR扫描几何的格林函数的新公式,其中可以清晰地识别由扫描几何引入的相位分量,并且可以有效地补偿其影响。此外,确定了与此新格林函数有关的点扩展函数的理论方面。使用实验数据集评估了提出的技术的可行性。所提出的方法产生了空间精确的图像,并展现了几分钟的平均执行时间。

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