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Imaging of Buried Targets Using UAV-based, Ground Penetrating, Synthetic Aperture Radar

机译:使用基于无人机的探地合成孔径雷达对掩埋目标成像

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This paper investigates the possible configurations of a ground penetrating radar (GPR) system installed on a small UAVplatform and used for buried target imaging. After discussing the advantages of this type of platform as compared toexisting designs, we proceed to analyzing the imaging performance of the proposed system. This is done first bysimulating the point spread function of the system, then by using realistic radar models involving a buried antitanklandmine. The study has the following objectives: finding the best sensing geometry for this type of targets; optimizingthe frequency band, polarization, and synthetic aperture length, position and sampling rate for best imaging performance;and developing SAR image formation algorithms for this GPR system. Both 2-D and 3-D GPR imaging systems areconsidered in this work, emphasizing the advantages of certain sensing modalities over the others. Image attributes suchas resolution, grating lobes, signal strength, ground bounce separation and surface clutter sensitivity are used in theperformance comparison.
机译:本文研究了安装在小型无人机上的探地雷达(GPR)系统的可能配置 平台,用于掩埋目标成像。在讨论了这种类型的平台与之相比的优势之后 现有设计,我们着手分析所提出系统的成像性能。这是首先完成的 模拟系统的点扩展功能,然后使用涉及掩埋反坦克的真实雷达模型 地雷。这项研究的目标如下:为这类目标寻找最佳的感应几何;优化 频段,极化和合成孔径长度,位置和采样率,以实现最佳成像性能; 并为此GPR系统开发SAR图像形成算法。 2-D和3-D GPR成像系统都是 在这项工作中考虑了这一点,强调了某些感应方式相对于其他感应方式的优势。图像属性例如 作为分辨率,在光栅中使用了光栅波瓣,信号强度,地面反弹间隔和表面杂波灵敏度。 性能比较。

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