Going beyond 1000000 resolved points in a Brillouin distributed fiber sensor: theoretical analysis and experimental...

Area of Science:

• Optical Physics
• Sensor Technology
• Materials Science

Background:

• Distributed fiber sensing offers high-resolution environmental measurements over long distances.
• Current systems are limited to hundreds of thousands of points due to signal-to-noise ratio (SNR) constraints.
• Improving the number of resolved points is crucial for advancing sensor performance.

Purpose of the Study:

• To develop and demonstrate an optimized distributed fiber sensor with a significantly increased number of independent measurement points.
• To achieve a one-order-of-magnitude improvement in resolved points compared to the state-of-the-art.
• To address key factors limiting SNR and performance in medium-to-long range and sub-meter resolution sensing.

Main Methods:

• Utilized a Brillouin distributed fiber sensor.
• Employed phase-modulation correlation-domain analysis.
• Incorporated temporal gating of the pump and time-domain acquisition.

Main Results:

• Demonstrated a record 2,100,000 independent measurement points.
• Achieved a spatial resolution of 8.3 mm over a distance of 17.5 km.
• Validated two theoretical models for spatial resolution and sensor amplitude response, improving SNR estimation.

Conclusions:

• The developed sensor represents a significant advancement in distributed fiber sensing capabilities.
• The validated models provide a foundation for future high-performance sensor designs.
• This work overcomes previous limitations, enabling more detailed environmental monitoring.