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Proceedings Paper

Optical nonlinearity compensation using artificial neural-network-based digital signal processing
Author(s): Moriya Nakamura
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Paper Abstract

We introduce our studies on optical nonlinearity compensation schemes using artificial-neural-networks (ANNs) for optical communication systems. The ANN-based digital signal processing can compensate nonlinear optical waveform distortion caused by SPM, XPM, and FWM. We employed real-valued ANNs and complex-valued ANNs, and compared their performances. The performances were studied in comparison with conventional Volterra series transfer function (VSTF). Furthermore, we introduce polarization tracking capability of the ANN for polarization-multiplexed optical transmission schemes. We also discuss over-training problem with the ANN and the VSTF.

Paper Details

Date Published: 31 January 2020
PDF: 8 pages
Proc. SPIE 11308, Metro and Data Center Optical Networks and Short-Reach Links III, 113080N (31 January 2020); doi: 10.1117/12.2543325
Show Author Affiliations
Moriya Nakamura, Meiji Univ. (Japan)

Published in SPIE Proceedings Vol. 11308:
Metro and Data Center Optical Networks and Short-Reach Links III
Atul K. Srivastava; Madeleine Glick; Youichi Akasaka, Editor(s)

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