Summary
International Conference on Emerging Technologies for Communications
2022
Session Number:S13
Session:
Number:S13-1
Comparison of overfitting characteristics of ANN- and VSTF-based nonlinear equalizers for repeated random bit patterns in optical communication systems
Kai Ikuta, Jinya Nakamura, Daisuke Motai, Moriya Nakamura,
pp.-
Publication Date:2022/11/29
Online ISSN:2188-5079
DOI:10.34385/proc.72.S13-1
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Summary:
Nonlinear equalizers based on the artificial neural network (ANN) and Volttera series transfer function (VSTF) have been studied to compensate for nonlinear waveform distortion caused by optical nonlinearities in optical transmission systems. However, overfitting characteristics of both methods have not been fully clarified. In this paper, we investigated and compared the overfitting of ANN- and VSTF-based nonlinear equalizers for repeated random bit patterns.