Turkish Journal of Electrical Engineering and Computer Sciences
Article Title
Optimization with genetic algorithm of temperature-dependent fiber length of L-band EDFA gain
DOI
10.3906/elk-1309-95
Abstract
Erbium-doped fiber amplifiers (EDFAs) have great importance in long-distance communication. It is required to have equal gain for all signals that are transferred and to avoid loss in the receiver of long-distance communication systems. However, temperature dependence changes the output spectrum of the designed gain-flattening systems. In this study, each erbium-doped fiber (EDF) length of a two-stage L-band EDFA has been optimized using a genetic algorithm method; because of the temperature dependence of EDFAs, there is no general rule. Thus, a simple, fast, dynamic, and highly accurate model has been developed and obtained for different EDF lengths that will fix gain along the L-band. The results have been shown to be very compatible with the previously obtained numerical values.
Keywords
Erbium-doped fiber amplifiers, genetic algorithm, fiber length, optimization
First Page
1034
Last Page
1043
Recommended Citation
YÜCEL, MURAT and MUSTAFA, DAMT ADNAN MUSTAFA
(2016)
"Optimization with genetic algorithm of temperature-dependent fiber length of L-band EDFA gain,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 24:
No.
3, Article 25.
https://doi.org/10.3906/elk-1309-95
Available at:
https://journals.tubitak.gov.tr/elektrik/vol24/iss3/25
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Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons
