Research on signal recovery method of IM/DD optical fiber transmission system based on multi-bit and multi-class classification convolutional neural network

Meng Liang; Jiayu Du

doi:10.1364/ACPC.2020.M4A.231

Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC)
OSA Technical Digest (Optica Publishing Group, 2020),
paper M4A.231
•https://doi.org/10.1364/ACPC.2020.M4A.231

Research on signal recovery method of IM/DD optical fiber transmission system based on multi-bit and multi-class classification convolutional neural network

Meng Liang and Jiayu Du

Asia Communications and Photonics Conference 2020

Beijing China
24–27 October 2020
ISBN: 978-1-943580-82-8

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M. Liang and J. Du, "Research on signal recovery method of IM/DD optical fiber transmission system based on multi-bit and multi-class classification convolutional neural network," in Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC), K. Xu, D. Simeonidou, C. Chang-Hasnain, N. Wada, X. Ren, Z. Zhukov, P. Perry Shum, Y. Ji, J. Zhang, X. Zhou, C. Lu, and L. Wosinska, eds., OSA Technical Digest (Optica Publishing Group, 2020), paper M4A.231.

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Abstract

We have compared a new convolutional neural network based on multi-bit and multi-class classification of the time domain and wavelet domain feature extraction methods to recover the distorted signal in IM/DD optical fiber transmission system.

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