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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 19, Iss. 4 — Apr. 1, 2002
  • pp: 772–780

Design of binary long-period fiber grating filters by the inverse-scattering method with genetic algorithm optimization

Gia-Wei Chern and Lon A. Wang  »View Author Affiliations


JOSA A, Vol. 19, Issue 4, pp. 772-780 (2002)
http://dx.doi.org/10.1364/JOSAA.19.000772


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Abstract

An approach is presented to the design of binary long-period fiber grating (LPFG) filters based on the Gel’fand–Levitan–Marchenko (GLM) inverse-scattering method and genetic algorithm optimization. The nonuniform coupling strength of the binary grating can be realized by varying the local duty ratio. A coupled-mode theory combined with the Poisson sum formula for treating the binary index perturbation is developed for the application of the GLM synthesis method. Since the coupled-mode theory, which smears out the discrete coupling nature, can be regarded only as an approximation to the modeling of a binary LPFG, we use instead the transfer-matrix model to analyze the coupling behavior of a nonuniform binary LPFG. Based on the synthesized grating patterns from the GLM method, a real-coded genetic algorithm with the transfer-matrix model is used to compensate for the discrepancies resulting from use of the coupled-mode theory and to optimize the design. We exemplify the above procedure by designing a flatband LPFG filter and a high-visibility all-fiber Mach–Zehnder filter.

© 2002 Optical Society of America

OCIS Codes
(050.2770) Diffraction and gratings : Gratings
(060.2310) Fiber optics and optical communications : Fiber optics
(060.2340) Fiber optics and optical communications : Fiber optics components

History
Original Manuscript: February 23, 2001
Revised Manuscript: August 2, 2001
Manuscript Accepted: August 30, 2001
Published: April 1, 2002

Citation
Gia-Wei Chern and Lon A. Wang, "Design of binary long-period fiber grating filters by the inverse-scattering method with genetic algorithm optimization," J. Opt. Soc. Am. A 19, 772-780 (2002)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-19-4-772

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