This article is cited in 10 papers

Fibreoptic communication lines

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

S. A. Bogdanov, O. S. Sidelnikov

Novosibirsk State University

Abstract: 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.

Keywords: optical fibre, nonlinear effects, fully connected neural networks, mathematical modelling.

Received: 28.12.2020
Revised: 27.02.2021

 English version: Quantum Electronics, 2021, 51:5, 459–462

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