Evolutionary programming synthesis of optimal long-period fiber grating filters for EDFA gain flattening

Author

Lee, C.L. ; Lai, Y.

Author_Institution

Inst. of Electro-Opt., Nat. Chiao Tung Univ., Hsinchu, Taiwan

Volume

14

Issue

11

fYear

2002

Firstpage

1557

Lastpage

1559

Abstract

An innovative long-period fiber grating (LPG) synthesis method based on the stochastic evolutionary programming (EP) algorithms is demonstrated to be effective for designing optimal LPG filters. Synthesis of a single-stage LPG filter for the entire C-band erbium-doped fiber amplifier (EDFA) gain flattening is used as an example to show the feasibility and the effectiveness of the proposed algorithm. To the best of our knowledge, this is the first demonstration that good EDFA gain flattening for the entire band can be achieved with a single-stage LPG filter that is properly designed.

Keywords

diffraction gratings; evolutionary computation; optical design techniques; optical fibre amplifiers; optical fibre communication; optical fibre filters; stochastic processes; C-band erbium-doped fiber amplifier gain flattening; EDFA gain flattening; LPG filters design; evolutionary programming synthesis; good EDFA gain flattening; innovative long-period fiber grating synthesis method; optimal long-period fiber grating filters; single-stage LPG filter; stochastic evolutionary programming algorithms; Bragg gratings; Erbium-doped fiber amplifier; Fiber gratings; Filters; Genetic programming; Inverse problems; Optical fiber communication; Optical fiber devices; Optical fiber sensors; Optimization methods;

fLanguage

English

Journal_Title

Photonics Technology Letters, IEEE

Publisher

ieee

ISSN

1041-1135

Type

jour

DOI

10.1109/LPT.2002.803910

Filename

1042001