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Recent Progress in Distributed Fiber Acoustic Sensing with Φ-OTDR
Zhaoyong Wang1,2, Bin Lu1,2, Qing Ye1,2
1Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China.
Sensors (Basel, Switzerland)
|November 21, 2020
Summary
Distributed fiber acoustic sensing (DAS) offers real-time, long-distance disturbance detection with high resolution. This versatile technology shows great potential for various applications, from security to infrastructure monitoring.
Area of Science:
- Optics and Photonics
- Sensing Technology
- Signal Processing
Background:
- Distributed fiber acoustic sensing (DAS) provides continuous, real-time spatial detection of disturbances along optical fibers.
- DAS offers advantages like large coverage, high resolution, and environmental adaptability, making it suitable for diverse applications.
Purpose of the Study:
- To introduce the sensing principle and performance metrics of DAS.
- To present recent research advancements in DAS at the Shanghai Institute of Optics and Fine Mechanics (SIOM).
- To review engineering applications and discuss future directions of DAS technology.
Main Methods:
- Exploration of quantitative demodulation techniques for DAS.
- Investigation of methods for interference fading suppression and frequency response enhancement.
- Development of high spatial resolution and distributed multi-dimension localization capabilities.
Main Results:
- Demonstration of advanced DAS techniques including quantitative demodulation and interference suppression.
- Achieved improvements in frequency response and spatial resolution for DAS systems.
- Successful engineering applications of DAS in various fields were summarized.
Conclusions:
- DAS is a versatile technology with significant development potential and broad application prospects.
- Ongoing research at SIOM is pushing the boundaries of DAS capabilities.
- DAS is poised for wider adoption in critical monitoring and detection tasks.

