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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Vol. 21, Iss. 12 — Dec. 1, 2004
  • pp: 2399–2405

Two-stage hybrid optimization of fiber Bragg gratings for design of linear phase filters

Rui Tao Zheng, Nam Quoc Ngo, Le Nguyen Binh, and Swee Chuan Tjin  »View Author Affiliations

JOSA A, Vol. 21, Issue 12, pp. 2399-2405 (2004)

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We present a new hybrid optimization method for the synthesis of fiber Bragg gratings (FBGs) with complex characteristics. The hybrid optimization method is a two-tier search that employs a global optimization algorithm [i.e., the tabu search (TS) algorithm] and a local optimization method (i.e., the quasi-Netwon method). First the TS global optimization algorithm is used to find a “promising” FBG structure that has a spectral response as close as possible to the targeted spectral response. Then the quasi-Newton local optimization method is applied to further optimize the FBG structure obtained from the TS algorithm to arrive at a targeted spectral response. A dynamic mechanism for weighting of different requirements of the spectral response is employed to enhance the optimization efficiency. To demonstrate the effectiveness of the method, the synthesis of three linear-phase optical filters based on FBGs with different grating lengths is described.

© 2004 Optical Society of America

OCIS Codes
(000.3860) General : Mathematical methods in physics
(050.2770) Diffraction and gratings : Gratings
(060.2340) Fiber optics and optical communications : Fiber optics components

Original Manuscript: June 3, 2004
Revised Manuscript: July 7, 2004
Manuscript Accepted: July 7, 2004
Published: December 1, 2004

Rui Tao Zheng, Nam Quoc Ngo, Le Nguyen Binh, and Swee Chuan Tjin, "Two-stage hybrid optimization of fiber Bragg gratings for design of linear phase filters," J. Opt. Soc. Am. A 21, 2399-2405 (2004)

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