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Updated: Nov 12, 2025

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A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
Published on: September 30, 2019
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Noise analysis of the fiber-based vibration detection system
Optics Express
|March 17, 2021
Summary
This study enhances seismic event detection using fiber-based interferometers. We analyzed system noise to optimize sensitivity for detecting minor vibrations, improving seismic monitoring effectiveness.
Area of Science:
- Physics
- Geophysics
- Optical Engineering
Background:
- Fiber-based continuous wave (CW) laser interferometers are crucial for seismic event detection.
- Optimizing these systems requires a thorough understanding and analysis of their noise levels.
- Previous research has not fully quantified the relationship between system noise and detection performance.
Purpose of the Study:
- To analyze the noise characteristics of a fiber-based CW laser interferometer system for seismic detection.
- To determine the impact of varying fiber length and laser noise on detection sensitivity.
- To establish a quantitative relationship between background noise and seismic detection results.
Main Methods:
- Two vibration detection systems were established to analyze noise levels.
- Experiments involved varying fiber lengths (0-100 km) and laser noise levels.
- Key performance indicators including Power Spectral Density, Background Noise Level, and Signal-to-Noise Ratio were utilized.
Main Results:
- The system successfully detected minor phase changes caused by 160 µm fiber length vibrations.
- A clear relationship between the system's background noise and its detection results was established.
- Quantitative analysis provided insights into factors affecting system sensitivity.
Conclusions:
- This research provides a quantitative framework for understanding and optimizing fiber-based seismic detection systems.
- The findings serve as a valuable reference for designing more efficient vibration detection systems.
- Minimizing background noise is critical for enhancing the sensitivity and effectiveness of seismic event detection.
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