Title :
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
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;
Journal_Title :
Photonics Technology Letters, IEEE
DOI :
10.1109/LPT.2002.803910
