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A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
Published on: September 30, 2019
Long-distance fiber-optic point-sensing systems based on random fiber lasers
1Key Laboratory of Optical Fiber Sensing and Communications (Education Ministry of China) University of Electronic Science and Technology of China, Chengdu, 611731, China. znwang@uestc.edu.cn
Optics Express
|October 6, 2012
Summary
Random fiber lasers (RFLs) are demonstrated as temperature-insensitive systems for long-distance fiber-optic remote sensing. These lasers enable high-fidelity signal transmission over 100 km, with second-order lasing showing superior performance.
Area of Science:
- Photonics and Optical Engineering
- Fiber Optic Sensing Technologies
- Laser Physics
Background:
- Random Fiber Lasers (RFLs) typically require point-reflectors for lasing.
- Thermal stability is a critical factor for long-distance fiber-optic sensing systems.
- Existing remote sensing methods face challenges in signal fidelity and transmission distance.
Purpose of the Study:
- To investigate the temperature insensitivity of RFLs without point-reflectors.
- To propose and demonstrate a novel long-distance fiber-optic remote sensing scheme utilizing RFLs.
- To compare the performance of first-order and second-order random lasing for sensing applications.
Main Methods:
- Experimental demonstration of two 100 km fiber Bragg grating (FBG) point-sensing schemes.
- Utilizing first-order and second-order random lasing within the RFL cavity.
- Incorporating a 1455 nm FBG into the cavity to enhance lasing efficiency.
Main Results:
- RFLs without point-reflectors exhibit inherent temperature insensitivity.
- Both sensing schemes achieved >20 dB optical signal-to-noise ratio (OSNR) over 100 km.
- The second-order random lasing scheme demonstrated significantly improved OSNR compared to the first-order scheme.
Conclusions:
- RFLs without point-reflectors are viable for stable, long-distance fiber-optic remote sensing.
- Second-order random lasing offers enhanced performance for FBG-based sensing systems.
- The proposed RFL-based sensing approach provides a robust solution for remote environmental monitoring.
