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- Faculty of Science, Alexandria University, Moharam Bek building, Alexandria, Egypt
In this work, performance analysis of macro-bending erbium doped fiber amplifier (EDFA) gain and noise figure are studied through theoretical and artificial neural network modeling (ANN) and compared to experimental results of both macrobending case and normal case (without bending) of S. A. Daud et al. . The calculations and simulation of ANN are performed at 15 m length of EDFA with 4 mm bending radius for the single mode fiber pumped at 980 nm in the C-band, with 20 dBm pump power and input signal power of -30 dBm. Our theoretical model shows a good agreement with the experimental data, with the advantage that the use of ANN reduces the computational time..
EDFA, Macro-bending, Artificial neural network, Laser.
Submitted at: April 18, 2016
Accepted at: Aug. 3, 2016
O. MAHRAN, Gain and noise figure of 20 dBm pumped macro-bending EDFA: a comparative study of numerical analysis with Artificial Neural Network model (ANN), Journal of Optoelectronics and Advanced Materials Vol. 18, Iss. 7-8, pp. 602-607 (2016)
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