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

C. L. Lee; Yin-Chieh Lai

doi:10.1109/LPT.2002.803910

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

C. L. Lee^*, Yin-Chieh Lai

^*Corresponding author for this work

Department of Photonics

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

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.

Original language	English
Pages (from-to)	1557-1559
Number of pages	3
Journal	IEEE Photonics Technology Letters
Volume	14
Issue number	11
DOIs	https://doi.org/10.1109/LPT.2002.803910
State	Published - 1 Nov 2002

Keywords

Erbium-doped fiber amplifier (EDFA) gain flattening
Evolutionary programming (EP)
Long-period fiber gratings (LPGs)

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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.",

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