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

Research output: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)1557-1559
Number of pages3
JournalIEEE Photonics Technology Letters
Volume14
Issue number11
DOIs
StatePublished - 1 Nov 2002

Keywords

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

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