周大鹏

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:滑铁卢大学

学位:博士

所在单位:物理学院

电子邮箱:dpzhou@dlut.edu.cn

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Computational distributed fiber-optic sensing

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论文类型:期刊论文

发表时间:2019-06-10

发表刊物:OPTICS EXPRESS

收录刊物:SCIE、EI

卷号:27

期号:12

页面范围:17069-17079

ISSN号:1094-4087

关键字:Binary sequences; Cost reduction; Fiber optics; Image reconstruction; Imaging techniques; Object detection, Backscattered light; Correlation measurement; Distributed fiber optic sensor; Fiber-optic sensing; Orders of magnitude; Scattering information; Spatially resolved; Temporal images, Fiber optic sensors

摘要:Ghost imaging allows image reconstruction by correlation measurements between a light beam that interacts with the object without spatially resolved detection and a spatially resolved light beam that never interacts with the object. The two light beams are copies of each other. Its computational version removes the requirement of a spatially resolved detector when the light intensity pattern is pre-known. Here, we exploit the temporal analogue of computational ghost imaging, and demonstrate a computational distributed fiber-optic sensing technique. Temporal images containing spatially distributed scattering information used for sensing purposes are retrieved through correlating the "integrated" backscattered light and the pre-known binary patterns. The sampling rate required for our technique is inversely proportional to the total time duration of a binary sequence, so that it can be significantly reduced compared to that of the traditional methods. Our experiments demonstrate a 3 orders of magnitude reduction in the sampling rate, offering great simplification and cost reduction in the distributed fiber-optic sensors. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement