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Automatic Permittivity and Thickness Characterization of Body-Bome Weak Dielectric Threats Using Wideband Radar

机译:宽带雷达对人体微弱介电威胁的自动介电常数和厚度表征

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This paper proposes a method for determining permittivity and thickness of body-borne objects automatically by processing wideband radar images. The algorithm can be used to find the explosive threats and rule out the benign objects. Having the reconstructed millimeter wave radar image of the body with an anomaly attached to it, we extract the nominal body contour, which shows the body surface in the absence of the object, then we subtract the ideal body response from the image and define the amount of body displacement observed in the radar image which is caused by the signal retardation due to presence of the weak dielectric object and look for the front surface reflection of the attached foreign object. Finally, we calculate the amount of permittivity based on body displacement and the anomaly’s thickness.
机译:提出了一种通过处理宽带雷达图像自动确定物体的介电常数和厚度的方法。该算法可用于发现爆炸性威胁并排除良性物体。将重建的毫米波雷达图像与异常相联系,然后提取人体标称轮廓,该轮廓显示没有物体的情况下的人体表面,然后从图像中减去理想的人体响应并定义数量在雷达图像中观察到的身体位移的原因,这是由于存在弱电介质而导致的信号延迟,并寻找附着的异物的前表面反射。最后,我们根据物体的位移和异常的厚度来计算介电常数。

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