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Demodulation algorithm for optical fiber F-P sensor.

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|October 20, 2017

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A new demodulation algorithm using variable step size hill climbing search enhances optical fiber sensing accuracy. This method significantly reduces computation for nano-scale resolution and high measurement rates in Fabry-Perot sensors.

Area of Science:

Optoelectronics
Sensor Technology
Signal Processing

Background:

Accurate demodulation is critical for optical fiber sensing systems.
Traditional algorithms face computational challenges.
Fabry-Perot (F-P) sensors offer high sensitivity but require precise demodulation.

Purpose of the Study:

To introduce and evaluate a novel variable step size hill climbing search demodulation algorithm for optical fiber F-P sensing.
To demonstrate improved computational efficiency and measurement accuracy compared to existing methods.

Main Methods:

Implementation of a variable step size hill climbing search algorithm for F-P sensing demodulation.
Fabrication of a micro-electro-mechanical system (MEMS) based optical fiber F-P pressure sensor.

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Experimental validation of the algorithm's performance and sensor's characteristics.

Main Results:

The variable step size algorithm significantly reduces computational load.
Achieved nano-scale resolution and high measurement accuracy.
Demonstrated high demodulation rates and a large dynamic demodulation range.
The fabricated sensor exhibited a sensitivity of approximately 2.5 nm/KPa, aligning with theoretical predictions.
The sensor showed excellent reproducibility.

Conclusions:

The variable step size hill climbing search method offers a superior approach for F-P sensing demodulation.
This algorithm enables high-performance optical fiber sensors with nano-scale resolution and accuracy.
The developed MEMS-based F-P pressure sensor validates the algorithm's effectiveness and practical applicability.