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31 January 2020 Optical nonlinearity compensation using artificial neural-network-based digital signal processing
Moriya Nakamura
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Proceedings Volume 11308, Metro and Data Center Optical Networks and Short-Reach Links III; 113080N (2020) https://doi.org/10.1117/12.2543325
Event: SPIE OPTO, 2020, San Francisco, California, United States
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.
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Moriya Nakamura "Optical nonlinearity compensation using artificial neural-network-based digital signal processing", Proc. SPIE 11308, Metro and Data Center Optical Networks and Short-Reach Links III, 113080N (31 January 2020); https://doi.org/10.1117/12.2543325
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KEYWORDS
Nonlinear optics
Digital signal processing
Distortion
Finite impulse response filters
Telecommunications
Optical communications
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