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Linear FBG Temperature Sensor Interrogation with Fabry-Perot ITU Multi-wavelength Reference.

Hyoung-Jun Park1, Minho Song2

  • 1Division of Electronics and Information Engineering, Chonbuk National University, Jeonju 561-756, Korea. spacegon@chonbuk.ac.kr.

Sensors (Basel, Switzerland)
|November 23, 2016
PubMed
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This study introduces a novel method using a Fabry-Perot ITU filter as a multi-wavelength reference for fiber Bragg grating sensor demodulation. A polynomial fitting algorithm ensures constant accuracy, achieving a low linearity error of 0.18%.

Area of Science:

  • Optics and Photonics
  • Sensor Technology
  • Signal Processing

Background:

  • Fiber Bragg Grating (FBG) sensors are widely used for various sensing applications.
  • Accurate demodulation of FBG sensors is crucial for reliable measurements.
  • Nonlinear wavelength tuning in demodulators can affect sensor accuracy.

Purpose of the Study:

  • To develop an efficient multi-wavelength reference for FBG sensor demodulation.
  • To compensate for nonlinear wavelength tuning effects in FBG demodulators.
  • To achieve high accuracy and linearity in FBG sensor readings.

Main Methods:

  • Utilized equidistantly spaced multi-passbands of a Fabry-Perot ITU filter as a reference.
  • Applied a polynomial fitting algorithm to temporal peaks of the wavelength-scanned ITU filter.
Keywords:
Fabry-Perot filterFiber Bragg gratingFiber-optic temperature sensor

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  • Assigned fitted wavelength values to FBG sensor reflection peaks.

    • Main Results:

    • Achieved constant accuracy in FBG sensor demodulation, independent of wavelength scan range and frequency.
    • Demonstrated a linearity error of approximately 0.18% when compared to a reference thermocouple thermometer.
    • Validated the effectiveness of the polynomial fitting algorithm for nonlinear compensation.

    Conclusions:

    • The proposed method offers an efficient and accurate multi-wavelength reference for FBG sensor demodulation.
    • Polynomial fitting effectively compensates for nonlinearities, enhancing measurement reliability.
    • The technique provides a robust solution for precise FBG sensing applications.