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采用多横向模式外差匹配滤波技术的高信噪比Φ-OTDR

High SNR Φ-OTDR with Multi-Transverse Modes Heterodyne Matched-Filtering Technology.

作者信息

Liu Yifan, Yang Junqi, Wu Bingyan, Lu Bin, Shuai Luwei, Wang Zhaoyong, Ye Lei, Ying Kang, Ye Qing, Qu Ronghui, Cai Haiwen

机构信息

Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China.

Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Sensors (Basel). 2021 Nov 10;21(22):7460. doi: 10.3390/s21227460.

Abstract

Phase-sensitive optical time domain reflectometer (Φ-OTDR) has attracted attention in scientific research and industry because of its distributed dynamic linear response to external disturbances. However, the signal-to-noise ratio (SNR) of Φ-OTDR is still a limited factor by the weak Rayleigh Backscattering coefficient. Here, the multi-transverse modes heterodyne matched-filtering technology is proposed to improve the system SNR. The capture efficiency and nonlinear threshold are increased with multiple transverse modes in few-mode fibers; the incident light energy is permitted to be enlarged by a wider probe pulse by using heterodyne matched-filtering without spatial resolution being deteriorated. As far as we know, this is the first time that both multi-transverse modes integration method and digital heterodyne matched filtering method have been used to improve the SNR of Φ-OTDR simultaneously. Experimental results show that the noise floor is reduced by 11.4 dB, while the target signal is kept. We believe that this proposed method will help DAS find important applications in marine acoustic detection and seismic detection.

摘要

相敏光时域反射仪(Φ-OTDR)因其对外部干扰的分布式动态线性响应而在科研和工业领域受到关注。然而,由于瑞利背向散射系数较弱,Φ-OTDR的信噪比(SNR)仍然是一个限制因素。在此,提出了多横向模式外差匹配滤波技术来提高系统信噪比。少模光纤中的多个横向模式提高了捕获效率和非线性阈值;通过使用外差匹配滤波,允许通过更宽的探测脉冲扩大入射光能量,而不会降低空间分辨率。据我们所知,这是首次同时使用多横向模式积分方法和数字外差匹配滤波方法来提高Φ-OTDR的信噪比。实验结果表明,本底噪声降低了11.4 dB,同时目标信号得以保留。我们相信,该方法将有助于分布式声学传感(DAS)在海洋声学探测和地震探测中找到重要应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4002/8624208/a090f316f873/sensors-21-07460-g001.jpg

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