所属单位：信息科学与工程学院
论文名称：Phase Sensitive Optical Time Domain Reflectometry Based on Compressive Sensing
发表刊物：IEEE Journal of Lightwave Technology
摘要：A sub-Nyquist random single-pulse sampling method based compressive sensing technique is proposed firstly to reconstruct signals under test in phase-sensitive optical time domain reflectometry (φ-OTDR). The key information of Rayleigh backscattering curves can be recognized after sparse transformation, which can be successfully reconstructed with far smaller number of measurements by orthogonal matching pursuit algorithm. Unlike the uniform sampling in conventional φ-OTDR system, pulse intervals are randomly modulated to generate a random single-pulse sequence in the proposed method in order to achieve random single-pulse sampling along every sensing point of the fiber. Experimental results verify that pulse sequences with average pulse repetition rate less than 2-kHz can be efficiently utilized to reconstruct an 8-kHz signal under test and obtain its frequency information, as well as to realize the detection of high frequency signals at different locations along the sensing fiber. It is demonstrated that the sampling rate is reduced greatly without any hardware modification compared to that required in the conventional method. This method can break the limits of the traditional Shannon-Nyquist sampling theorem to reconstruct signal, which is of great significance for the sensor performance enhanced in traditional φ-OTDR system.
全部作者：Zhaojun Liu,Yanping Xu,Zhenhua Cong,Dapeng Zhou,Shang Wang,Zhao Li,Heng Wang
第一作者：Shuai Qu
论文类型：期刊论文
通讯作者：Zengguang Qin
论文编号：56CF5431BE5B41A7B27E4742453E7B22
学科门类：工学
一级学科：光学工程
文献类型：J
卷号：37
期号：23
页面范围：5766-5772
ISSN号：1558-2213
是否译文：否
发表时间：2019-12-01
收录刊物：SCI
发表时间：2019-12-01