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Automatic Permittivity Characterization of a Weak Dielectric Attached to Human Body Using Wideband Radar Image Processing

机译:使用宽带雷达图像处理的人体弱电介质的自动介电学表征

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This paper presents a new method for automatically determining the dielectric permittivity and thickness of a penetrable dielectric affixed to the human body by processing radar image responses. This is an important problem for explosives detection with body security scanners, with the potential for reducing the false alarm rate. Starting with reconstructed multistatic mm-wave images of a conductive surface partially covered with a weak dielectric bar, the algorithm determines the nominal conductive surface, identifies the position of the surface-attached dielectric anomaly, finds the front and back dielectric surface reflection responses, and then determines the permittivity and thickness of the dielectric bar.
机译:本文通过处理雷达图像响应,提出了一种自动确定粘附到人体的可渗透电介质的介电常数和厚度的新方法。这是用身体安全扫描仪检测爆炸物的重要问题,具有降低误报率的可能性。从部分地覆盖有弱电介质的导电表面的重建多静电MM波图像开始,该算法确定标称导电表面,识别表面连接的介电异常的位置,找到前后介电表面反应响应,以及然后确定电介质杆的介电常数和厚度。

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