O. S. Sidelnikov, A. A. Redyuk, S. Sygletos, M. P. Fedoruk, “Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks”, Kvantovaya Elektronika, 2019, Volume 49, Number 12,Pages <nobr>1154

This article is cited in 7 papers

Selection of reports presented at the 7th All-Russian Conference on Fiber Optics (8-11 October 2019, Perm) (edited compiled by S.L.Semjonov)

Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks

O. S. Sidelnikov^ab, A. A. Redyuk^ab, S. Sygletos^c, M. P. Fedoruk^ab

^a Novosibirsk State University
^b Institute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
^c Aston University, England

Abstract: A scheme for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks is proposed. An improved quality of optical signal transfer in this scheme in comparison with the signal transfer in a scheme based on a neural network using symbols from only one channel is demonstrated.

Keywords: optical fibre, nonlinear effects, neural networks, mathematical simulation, wavelength division multiplexing.

Received: 11.10.2019