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Random Fiber Grating Characterization Based on OFDR and Transfer Matrix Method.

Zichao Zhou1, Chen Chen1, Ping Lu2

  • 1Department of Physics, University of Ottawa, 25 Templeton Street, Ottawa, ON K1N 6N5, Canada.

Sensors (Basel, Switzerland)
|October 29, 2020
PubMed
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Researchers analyzed random fiber gratings (RFGs), finding that higher randomness reduces backscattering but increases spectral variations. Entropy quantifies randomness, revealing a linear decrease in reflectivity with increased entropy.

Area of Science:

  • Photonics and Optical Engineering
  • Materials Science
  • Laser Physics

Background:

  • Random fiber gratings (RFGs) are crucial for fiber sensing and random fiber lasers.
  • A quantitative link between RFG randomness and spectral properties remains unestablished.

Purpose of the Study:

  • To experimentally and theoretically investigate the relationship between the degree of randomness in RFGs and their spectral response.
  • To establish a quantitative method for describing RFG randomness using entropy.

Main Methods:

  • Characterization of two RFGs with varying randomness using optical frequency domain reflectometry (OFDR).
  • Introduction of entropy to quantify randomness induced by sub-grating period variations.
  • Simulations to correlate sub-grating entropy with RFG spectral properties like reflectivity and peak wavelength variation.
Keywords:
OFDRdegree of randomnessentropyrandom fiber gratingtransfer matrix method

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Main Results:

  • High RFG randomness correlates with low backscattering strength and spatial fluctuations.
  • Increased randomness leads to multiple spectral peaks and wider wavelength variation.
  • Simulations show average reflectivity decreases linearly with entropy; peak reflectivity depends on κ2LΔP for ΔP > 8 nm.

Conclusions:

  • Experimental and simulation results align, validating the entropy-based quantification of RFG randomness.
  • The findings provide insights into optimizing RFG fabrication for enhanced performance in fiber lasers and sensors.