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Ground-penetrating synthetic-aperture radar focusing algorithm

机译:探地合成孔径雷达聚焦算法

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Abstract: This paper presents an algorithm for image reconstruction of ground-penetrating synthetic aperture radar that can be implemented in real time. The algorithm permits underground focusing. The algorithm was successfully demonstrated at scale using a Ka-band radar in the laboratory that has 1 cm range resolution. The equipment utilized objects on the surface and at depths of 7.5 and 15 cm. With the imaging set for focus at the surface, the buried objects were not detected. The buried objects were detected and resolved to the theoretical limits with the focus appropriately set, with the surface object detected but blurred. Thus, the algorithm provides better detection and resolution of underground objects than algorithms sans underground focus, and also permits an estimate of the depth. !1
机译:摘要:本文提出了一种可实时实现的穿透地面的合成孔径雷达图像重建算法。该算法允许进行地下聚焦。该算法已在实验室中使用具有1 cm范围分辨率的Ka波段雷达成功地大规模演示。该设备利用了表面上深度为7.5和15厘米的物体。将成像设置为聚焦在表面时,未检测到掩埋的物体。在适当设置焦点的情况下,检测并掩埋物体,并将其解析为理论极限,同时检测到表面物体但模糊。因此,与没有地下焦点的算法相比,该算法提供了更好的地下物体检测和分辨率,并且还可以估计深度。 !1

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