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一种基于稀疏旋转阵列的快速太赫兹成像方法。

A Fast Terahertz Imaging Method Using Sparse Rotating Array.

作者信息

Jiang Yanwen, Deng Bin, Qin Yuliang, Wang Hongqiang, Liu Kang

机构信息

College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China.

出版信息

Sensors (Basel). 2017 Sep 26;17(10):2209. doi: 10.3390/s17102209.

Abstract

For fast and standoff personal screening, a novel terahertz imaging scheme using a sparse rotating array is developed in this paper. A linearly sparse array is designed to move along a circular path with respect to an axis perpendicular to the imaging scenario. For this new scheme, a modified imaging algorithm is proposed based on the frequency-domain reconstruction method in circular synthetic aperture radar. To achieve better imaging performance, an optimization method of the sparse array is also proposed, according to the distribution of the spectral support. Theoretical and numerical analysis of the point spread function (PSF) is provided to demonstrate the high-resolution imaging ability of the proposed scheme. Comprehensive simulations are carried out to validate the feasibility and effectiveness of the array optimization method. Finally, the imaging results of a human-scattering model are also obtained to further demonstrate the good performance of this new imaging scheme and the effectiveness of the array optimization approach. This work can facilitate the design and practice of terahertz imaging systems for security inspection.

摘要

为实现快速且远距离的人体筛查,本文开发了一种使用稀疏旋转阵列的新型太赫兹成像方案。设计了一个线性稀疏阵列,使其相对于垂直于成像场景的轴沿圆形路径移动。针对这种新方案,基于圆合成孔径雷达的频域重建方法提出了一种改进的成像算法。为了获得更好的成像性能,还根据频谱支持的分布提出了一种稀疏阵列的优化方法。提供了点扩散函数(PSF)的理论和数值分析,以证明所提方案的高分辨率成像能力。进行了全面的仿真,以验证阵列优化方法的可行性和有效性。最后,还获得了人体散射模型的成像结果,以进一步证明这种新型成像方案的良好性能和阵列优化方法的有效性。这项工作有助于太赫兹成像系统用于安全检查的设计与实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a28e/5677352/5398b2834d17/sensors-17-02209-g001.jpg

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