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Inverse scattering algorithm for reconstructing lossy fiber Bragg gratings.

Amir Rosenthal1, Moshe Horowitz

  • 1Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa 32000 Israel. eeamir@tx.technion.ac.il

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|April 14, 2004
PubMed
Summary

We developed an inverse scattering algorithm to reconstruct lossy fiber Bragg gratings. This method accurately extracts refractive index and loss profiles, improving sensor and amplifier applications.

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Area of Science:

  • Optics and Photonics
  • Materials Science

Background:

  • Fiber Bragg gratings (FBGs) are crucial optical components.
  • Characterizing lossy FBGs is challenging due to parameter extraction instability.
  • Existing methods often require high spectral resolution.

Purpose of the Study:

  • To present an inverse scattering algorithm for reconstructing lossy fiber Bragg gratings.
  • To enable extraction of refractive index and loss coefficient profiles.
  • To develop a method overcoming instability and reducing spectral resolution requirements.

Main Methods:

  • Utilizing an inverse scattering approach.
  • Analyzing grating transmission and bidirectional reflection spectra.
  • Implementing a novel method to stabilize parameter extraction.

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Main Results:

  • Successfully reconstructed refractive index and loss coefficient profiles of lossy FBGs.
  • Demonstrated the algorithm's ability to work with transmission and reflection spectra from both sides.
  • Introduced a stabilization technique mitigating instability issues.
  • Showcased reduced spectral resolution needs for accurate parameter extraction.

Conclusions:

  • The developed inverse scattering algorithm provides accurate reconstruction of lossy FBG structures.
  • This method facilitates the design of novel distributed evanescent-wave fiber Bragg sensors.
  • It also aids in the analysis and design of FBGs in fiber amplifiers.