Practical Performance Enhancement of DAS by Using Dense Multichannel Signal Integration

被引:18
作者
Wang, Zhaoyong [1 ]
Yang, Junqi [1 ,2 ]
Gu, Jinfeng [1 ,2 ]
Liu, Yifan [1 ,2 ]
Lu, Bin [1 ]
Ying, Kang [1 ]
Ye, Lei [1 ]
Ye, Qing [1 ]
Qu, Ronghui [1 ]
Cai, Haiwen [1 ]
机构
[1] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Key Lab Space Laser Commun & Detect Technol, Shanghai 201800, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
基金
上海市自然科学基金; 国家重点研发计划; 中国国家自然科学基金;
关键词
Sensors; Signal to noise ratio; Sensitivity; Diversity reception; Optical fibers; Diversity methods; Spatial diversity; Detection sensitivity; distributed fiber acoustic sensing (DAS); multichannel signal integration; optical fiber applications; Rayleigh scattering; signal fading; FADING-NOISE; ACOUSTIC SENSOR; SYSTEM; REDUCTION;
D O I
10.1109/JLT.2021.3098330
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Distributed fiber acoustic sensing (DAS) technology can measure acoustic waves along long-distance optical fiber with high spatial resolution. Due to its unique advantages, DAS has been applied in wide fields. However, DAS currently still suffers from limited sensitivity and severe signal fading. Due to the inherent random nature and low signal intensity of Rayleigh backscattering, it is a challenge to essentially eliminate these fundamental limitations. Here a DAS system using its distributed sensing feature is demonstrated with dense multichannel signal integration, complete elimination of signal fading and 100-fold improvement of signal-to-noise ratio (SNR) are experimentally demonstrated. These results provide a simple and effective method to improve DAS performance in practical applications. As far as we know, it is the first time that the distributed sensing characteristic is utilized to tackle fading and sensitivity for DAS, simultaneously. It is believed that this method will promote the process of DAS large-scale applications and help DAS to attract widespread attentions, especially in intrusion detection, acoustic emission flaw detection, near-surface dynamics and characterization, etc.
引用
收藏
页码:6348 / 6354
页数:7
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