Author Affiliations
Abstract
1 Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518000, China
2 Key Laboratory of Intelligent Optical Sensing and Manipulation, Ministry of Education, Nanjing University, Nanjing 210023, China
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Phase-sensitive optical time-domain reflectometry (Φ-OTDR) has attracted numerous attention due to its superior performance in detecting the weak perturbations along the fiber. Relying on the ultra-sensitivity of light phase to the tiny deformation of optical fiber, Φ-OTDR has been treated as a powerful technique with a wide range of applications. It is fundamental to extract the phase of scattering light wave accurately and the methods include coherent detection, I/Q demodulation, 3 by 3 coupler, dual probe pulses, and so on. Meanwhile, researchers have also made great efforts to improve the performance of Φ-OTDR. The frequency response range, the measurement accuracy, the sensing distance, the spatial resolution, and the accuracy of event discrimination, all have been enhanced by various techniques. Furthermore, lots of researches on the applications in various kinds of fields have been carried out, where certain modifications and techniques have been developed. Therefore, Φ-OTDR remains as a booming technique in both researches and applications.
optical fiber sensors Ф-OTDR phase demodulation application research Opto-Electronic Advances
2022, 5(3): 200078
中国民航大学 电子信息与自动化学院, 天津 300300
针对相位敏感光时域反射仪(Ф-OTDR)信号信噪比过低的问题, 提出了一种基于改进变分模态分解(VMD)结合独立成分分析(ICA)的去噪方法。首先, 采用模拟退火方法(SA)对VMD进行优化; 然后, 采用SA-VMD将预处理后的Ф-OTDR信号分解成一系列本征模态分量(IMF), 并根据相关准则选取IMF分量进行虚拟噪声重构; 最后, 将原始信号与虚拟噪声作为ICA的输入, 去除信号中的噪声, 提高信号信噪比。采用自行设计的相干Ф-OTDR系统进行实验验证, 结果表明, 该方法能够有效去除噪声, 与EMD-ICA和SA-VMD方法相比, 信噪比提高了4dB, 这对系统的实际应用具有重要意义。
模拟退火算法 变分模态分解 独立成分分析 信噪比 Ф-OTDR Ф-OTDR simulated annealing algorithm variational mode decomposition independent component analysis SNR
