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Fiber Bragg grating sensing system for temperature measurements based on optically injected DFB-LD with an OEO loop
Optics Express
|June 11, 2024
Summary
This study introduces a new fiber Bragg grating (FBG) sensing system for precise temperature measurements. The novel design offers high, tunable sensitivity and accuracy for various applications.
Area of Science:
- Photonics and Sensing Technology
- Optical Engineering
- Metrology
Background:
- Fiber Bragg Grating (FBG) sensors are widely used for various measurements.
- Existing FBG sensing systems face limitations in sensitivity and tunability for temperature monitoring.
- Distributed feedback laser diodes (DFB-LDs) offer potential for enhanced optical sensing.
Purpose of the Study:
- To propose and demonstrate a novel FBG sensing system for high and tunable sensitivity temperature measurements.
- To integrate an optically injected DFB-LD with an optoelectronic oscillating (OEO) loop for improved signal quality.
- To convert temperature variations into frequency variations of a microwave signal for accurate detection.
Main Methods:
- Utilizing an FBG sensor as an edge filter to modulate the optical power of an injected beam.
- Operating the optically injected DFB-LD in a Period-one (P1) oscillating state.
- Implementing an OEO loop to enhance the signal quality of the generated P1 microwave signal.
- Correlating the frequency of the P1 microwave signal with applied temperature changes.
Main Results:
- The proposed FBG sensing system achieved tunable sensitivity ranging from 0.44322 GHz/°C to 1.25952 GHz/°C.
- High measurement accuracy of 0.0629°C was demonstrated through stability and repeatability tests.
- The system successfully converted temperature variations into frequency shifts of the P1 microwave signal.
Conclusions:
- The novel FBG sensing system offers high sensitivity and tunable performance for temperature measurements.
- The integration of DFB-LD and OEO loop enhances signal quality and measurement accuracy.
- The system demonstrates excellent linearity, flexible sensing generality, and low error, making it suitable for advanced temperature monitoring applications.
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