|
This article is cited in 1 scientific paper (total in 1 paper)
Selection of papers presented at the International Workshop on Fibre Lasers (Novosibirsk, 15-19 August 2022) (Compiled and edited by S.L. Semjonov and S.A. Babin)
Scheme of signal processing in a receiver of multimode communication lines based on convolutional neural networks
O. S. Sidelnikov, A. A. Redyuk, M. P. Fedoruk Novosibirsk State University
Abstract:
A scheme is proposed for processing optical signals in a receiver of a multimode communication line based on deep convolutional neural networks and simulating the signal backpropagation method. For the scheme in question, the efficiency of compensation for nonlinear intramode and intermode distortions is evaluated.
Keywords:
fibre optic communication systems, multimode fibre, optical fibre nonlinearity, convolutional neural networks, nonlinear distortion compensation.
Received: 16.09.2022
Citation:
O. S. Sidelnikov, A. A. Redyuk, M. P. Fedoruk, “Scheme of signal processing in a receiver of multimode communication lines based on convolutional neural networks”, Kvantovaya Elektronika, 52:11 (2022), 1018–1022 [Bull. Lebedev Physics Institute, 50:suppl. 3 (2023), S336–S342]
Linking options:
https://www.mathnet.ru/eng/qe18192 https://www.mathnet.ru/eng/qe/v52/i11/p1018
|
Statistics & downloads: |
Abstract page: | 85 | References: | 18 | First page: | 13 |
|