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Polarization-maintaining distributed fiber-optic sensor: software elimination of second-order (ghost) coupling

|November 2, 2010

Summary

This study analyzes distributed polarization-maintaining sensors under significant perturbations. A new algorithm accurately identifies perturbation locations and magnitudes along the fiber.

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Area of Science:

Optoelectronics
Fiber optic sensing
Applied physics

Background:

Distributed fiber optic sensors are crucial for real-time monitoring.
Polarization-maintaining (PM) fibers offer enhanced signal stability.
Second-order effects in PM fiber sensors can complicate analysis.

Purpose of the Study:

To theoretically analyze a distributed PM sensor under large perturbations.
To develop a software algorithm for identifying perturbation points and magnitudes.
To account for second-order effects in sensor analysis.

Main Methods:

Theoretical analysis of PM fiber optics under perturbation.
Development of a signal processing algorithm.
Simulation and validation of the algorithm's performance.

Main Results:

The theoretical model accounts for second-order effects in PM fiber sensors.
The developed software algorithm accurately identifies perturbation locations.
The algorithm quantifies the magnitude of distributed perturbations along the fiber.

Conclusions:

The theoretical framework provides a robust method for analyzing PM fiber sensors.
The software algorithm enhances the accuracy and reliability of distributed sensing.
This work advances the capabilities of fiber optic sensing for complex environments.