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Updated: May 15, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope
Published on: December 30, 2025
Long-range vibration sensor based on correlation analysis of optical frequency-domain reflectometry signals
Zhenyang Ding1, X Steve Yao, Tiegen Liu
1College of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, 300072, China.
This study introduces a new method for long-range vibration detection using optical frequency-domain reflectometry (OFDR). The technique precisely locates vibration events along a 12 km fiber optic cable with 5m resolution.
Area of Science:
- Optoelectronics
- Fiber Optic Sensing
- Signal Processing
Background:
- Accurate long-range vibration detection is crucial for infrastructure monitoring and security.
- Existing methods often lack the required spatial resolution or dynamic range.
- Optical frequency-domain reflectometry (OFDR) offers potential for high-resolution sensing.
Purpose of the Study:
- To develop a novel space-resolved vibration detection system using OFDR.
- To achieve long-range monitoring capabilities with high spatial accuracy.
- To analyze the correlation of OFDR signals for vibration event localization.
Main Methods:
- Utilized correlation analysis of optical frequency-domain reflectometry (OFDR) signals.
- Performed dual measurements: vibrated and non-vibrated states of a test fiber.
- Analyzed cross-correlation between beat signals in the spatial domain.
- Generated beat signals from Rayleigh backscattering and a local light oscillator.
Main Results:
- Demonstrated a 12 km dynamic range for vibration detection.
- Achieved a measurable vibration frequency up to 2 kHz.
- Obtained a spatial resolution of 5 meters for vibration event localization.
- Successfully reported preliminary results for two distinct vibration events.
Conclusions:
- The proposed OFDR-based method enables effective space-resolved, long-range vibration detection.
- The correlation analysis technique provides accurate localization of vibration events.
- The system shows promise for practical applications in structural health monitoring and security.
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