Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines

A scheme is proposed for processing optical signals in a receiver of a communication system, based on complex fully connected neural networks. The influence of the main characteristics of the neural network on the efficiency of nonlinear distortion compensation is studied. A significant advantage of...

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Bibliographic Details
Published in:Quantum electronics (Woodbury, N.Y.) N.Y.), 2021-05, Vol.51 (5), p.459-462
Main Authors: Bogdanov, S.A., Sidelnikov, O.S.
Format: Article
Language:English
Subjects:
Communications systems
Fiber optics
fully connected neural networks
mathematical modelling
Neural networks
nonlinear effects
Optical communication
optical fibre
Signal processing
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Summary:A scheme is proposed for processing optical signals in a receiver of a communication system, based on complex fully connected neural networks. The influence of the main characteristics of the neural network on the efficiency of nonlinear distortion compensation is studied. A significant advantage of the proposed scheme over real-valued neural networks is demonstrated.
ISSN:1063-7818
1468-4799
DOI:10.1070/QEL17518