Optimization with genetic algorithm of temperature-dependent fiber length of L-band EDFA gain

Authors : MURAT YÜCEL, DAMT ADNAN MUSTAFA

Pages : 1034-1043

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Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Erbium-doped fiber amplifiers insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(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