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A High Precision Terahertz Wave Image Reconstruction Algorithm

机译:高精度太赫兹波图像重建算法

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摘要

With the development of terahertz (THz) technology, the applications of this spectrum have become increasingly wide-ranging, in areas such as non-destructive testing, security applications and medical scanning, in which one of the most important methods is imaging. Unlike remote sensing applications, THz imaging features sources of array elements that are almost always supposed to be spherical wave radiators, including single antennae. As such, well-developed methodologies such as Range-Doppler Algorithm (RDA) are not directly applicable in such near-range situations. The Back Projection Algorithm (BPA) can provide products of high precision at the the cost of a high computational burden, while the Range Migration Algorithm (RMA) sacrifices the quality of images for efficiency. The Phase-shift Migration Algorithm (PMA) is a good alternative, the features of which combine both of the classical algorithms mentioned above. In this research, it is used for mechanical scanning, and is extended to array imaging for the first time. In addition, the performances of PMA are studied in detail in contrast to BPA and RMA. It is demonstrated in our simulations and experiments described herein that the algorithm can reconstruct images with high precision.
机译:随着太赫兹(THz)技术的发展,该频谱的应用范围越来越广泛,例如无损检测,安全应用和医学扫描等领域,其中最重要的方法之一就是成像。与遥感应用不同,太赫兹成像的特征在于阵列元素的来源几乎总是被认为是球面辐射器,包括单个天线。因此,诸如距离多普勒算法(RDA)之类的发达方法不能直接应用于此类近距离情况。反向投影算法(BPA)可以以较高的计算负担为代价提供高精度的产品,而范围偏移算法(RMA)为了效率而牺牲了图像质量。相移迁移算法(PMA)是一个很好的选择,其功能结合了上述两种经典算法。在这项研究中,它用于机械扫描,并且首次扩展到阵列成像。此外,与BPA和RMA相比,详细研究了PMA的性能。在本文所述的模拟和实验中证明,该算法可以高精度重建图像。

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