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Space-Doppler adaptive processing for radar imaging of moving targets masked by ground clutter

机译:地面杂波掩蔽的运动目标雷达成像的空间多普勒自适应处理

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摘要

Non-cooperative moving targets appear defocused within synthetic aperture radar (SAR) images and, in the case of ground targets, the blurring effect because of the uncompensated target motion decreases the radar's detection capabilities. Ground clutter, if sufficiently strong, may also obscure individual scatterers on moving targets resulting in a decreased ability to successfully classify the target. In this study, clutter suppression and inverse synthetic aperture radar (ISAR) imaging are combined to obtain high-resolution images of non-cooperative moving ground targets within SAR images. The clutter suppression technique proposed here is ISAR application oriented and is termed space-Doppler adaptive processing. Results obtained by processing a real dataset demonstrate the effectiveness of the proposed method.
机译:非合作移动目标在合成孔径雷达(SAR)图像中似乎散焦,并且在地面目标的情况下,由于未补偿的目标运动而产生的模糊效果降低了雷达的检测能力。如果地面杂波足够强,也可能会使移动目标上的单个散射体变得模糊,导致成功分类目标的能力降低。在这项研究中,杂波抑制和逆合成孔径雷达(ISAR)成像相结合,以获取SAR图像中非合作移动地面目标的高分辨率图像。这里提出的杂波抑制技术是面向ISAR应用的,被称为空间多普勒自适应处理。通过处理真实数据集获得的结果证明了该方法的有效性。

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