An Efficient Method for Modelling Millimeter-Wave Scan for Security Screening of Humans

IF 4.2 2区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Computational Imaging Pub Date : 2024-11-15 DOI:10.1109/TCI.2024.3487393
Wenyi Shao;Yan Li
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Abstract

An efficient approach for modelling 3D millimeter wave body scan is presented . The body is represented in the stereolithography (STL) format in terms of many triangles. We pre-cast scattering points in each triangle where the number of points was determined by the area of the triangle and the minimum wavelength. The acquired signal on a receiver is then calculated by summing the effect of all scattering points. In addition, the dielectric parameter of human skin, which is frequency dependent, is used to calculate the reflection coefficient. Signals generated from the simulation software were validated by reconstructing the whole-body images by using the fast Fourier transform algorithm. The simulation data were compared with that from HFSS SBR+ and real measurements. The obtained image and post data analysis demonstrated the accuracy of the presented simulation technique was acceptable and can be used for rapid millimeter-wave body-scan modelling.
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用于人体安全检查的毫米波扫描建模的高效方法
本文介绍了一种高效的三维毫米波人体扫描建模方法。人体以许多三角形的立体光刻(STL)格式表示。我们在每个三角形中预铸散射点,点的数量由三角形的面积和最小波长决定。接收器上获取的信号通过所有散射点的影响相加计算得出。此外,人体皮肤的介电参数与频率有关,可用于计算反射系数。通过使用快速傅里叶变换算法重建全身图像,对模拟软件生成的信号进行了验证。模拟数据与 HFSS SBR+ 和实际测量数据进行了比较。获得的图像和后期数据分析表明,所介绍的模拟技术的准确性是可以接受的,可用于快速毫米波人体扫描建模。
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来源期刊
IEEE Transactions on Computational Imaging
IEEE Transactions on Computational Imaging Mathematics-Computational Mathematics
CiteScore
8.20
自引率
7.40%
发文量
59
期刊介绍: The IEEE Transactions on Computational Imaging will publish articles where computation plays an integral role in the image formation process. Papers will cover all areas of computational imaging ranging from fundamental theoretical methods to the latest innovative computational imaging system designs. Topics of interest will include advanced algorithms and mathematical techniques, model-based data inversion, methods for image and signal recovery from sparse and incomplete data, techniques for non-traditional sensing of image data, methods for dynamic information acquisition and extraction from imaging sensors, software and hardware for efficient computation in imaging systems, and highly novel imaging system design.
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