Noise Figure Estimation of EDFA Based on Gradient Boosting Regression Approach for THz Applications

被引:1
|
作者
Sadik, Serif Ali [1 ]
机构
[1] Kutahya Dumlupinar Univ, Photon Technol Applicat & Res Ctr, Kutahya, Turkey
关键词
erbium-doped fiber amplifier; noise figure; machine learning; gradient boosting algorithm; FIBER;
D O I
10.1109/MTTW56973.2022.9942534
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Optical communication systems operating in the THz region require monitoring and control of transmission quality for higher network performance. Erbium-doped fiber amplifiers (EDFA) are one of the most important elements of such systems and input power and wavelength depended gain and noise characteristics of EDFAs complicate the network control. In this work, noise figure (NF) parameter of an EDFA was estimated with gradient boosting regressor model. The training and test data for the model were collected experimentally. The predicted values and real values of NF were fitted well with a coefficient of determination value of 0.9742, mean absolute error of 03428, and the root mean square error of 0.4429.
引用
收藏
页码:86 / 89
页数:4
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