Intensity self-compensation method against multi-factors for polarization-based Fabry-Perot interrogation system.

Area of Science:

• Optoelectronics
• Fiber Optics
• Sensor Technology

Background:

• Phase interrogation methods for fiber-optic Fabry-Perot (F-P) sensors are prone to field failures.
• Irrelevant environmental factors significantly impact signal intensity, compromising sensor performance.

Purpose of the Study:

• To propose and validate an intensity self-compensation method (ISCM) for polarization-based F-P interrogation systems.
• To eliminate signal fluctuations caused by external factors and improve sensor stability.

Main Methods:

• Developed an intensity self-compensation method (ISCM) utilizing initial reference signal intensities.
• Implemented real-time intensity compensation without altering the quadrature relationship of output signals.

Main Results:

• Reduced consecutive intensity fluctuations to 2%-3% from variations in light source power, fiber loss, and polarization state.
• Demonstrated ideal performance under dynamic sensor modulation and inconsistent signal fluctuations.
• Confirmed applicability to both single and multiple cavity F-P sensors.

Conclusions:

• The ISCM offers high efficiency, real-time capability, and requires no moving parts.
• This method significantly enhances the accuracy and stability of F-P interrogation systems.
• The ISCM is a robust solution for improving the reliability of fiber-optic sensing.