Study On Optical Communications, Volume. 48, Issue 6, 35(2022)

Nonlinear Channel Equalization based on Gaussian Processes for Regression in Fiber Link

Biao WU1, Jia-hao LI2, and Zhao-cai ZHANG3、*
Author Affiliations
  • 1Wuhan NARI Limitied Company of State Grid Electric Power Research Institute, Wuhan 430074, China
  • 2School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
  • 3Beijing Institute of Space Science and Technology Information, Beijing 100094, China
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    References(12)

    [1] Cartledge J C, Guiomar F P, Kschischang F R et al. Digital Signal Processing for Fiber Nonlinearities[J]. Optics Express, 25, 1916-1936(2017).

    [2] Pierluigi P, Bosco G. Long-haul WDM IMDD Transmission at 10.7 Gbit/s in a Dispersion-managed Multispan System Using MLSE Receivers[J]. Journal of Lightwave Technology, 26, 3041-3047(2008).

    [3] Peddanarappagari K V, Brandt-Pearce M. Volterra Series Transfer Function of Single-mode Fibers[J]. Journal of Lightwave Technology, 15, 2232-2241(1997).

    [4] Giacoumidis E, Son T L, Ghanbarisabagh M et al. Fiber Nonlinearity-induced Penalty Reduction in CO-OFDM by ANN-based Nonlinear Equalization[J]. Optics Letters, 40, 5113-5116(2015).

    [5] Sidelnikov O, Alexey R, Stylianos Sygletos M et al. Advanced Convolutional Neural Networks for Nonlinearity Mitigation in Long-haul WDM Transmission Systems[J]. Journal of Lightwave Technology, 39, 2397-2406(2021).

    [6] Yang Z, Gao F, Fu S et al. Radial Basis Function Neural Network Enabled C-band 4× 50 Gb/s PAM-4 Transmission over 80 km SSMF[J]. Optics Letters, 43, 3542-3545(2018).

    [7] Nguyen T, Mhatli S, Giacoumidis E et al. Fiber Nonlinearity Equalizer based on Support Vector Classification for Coherent Optical OFDM[J]. IEEE Photonics Journal, 8, 2528886(2016).

    [8] Deligiannidis S, Bogris A, Mesaritakis C et al. Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-term Memory Neural Networks[J]. Journal of Lightwave Technology, 38, 5991-5999(2020).

    [9] Rasmussen C E, Williams C K I[M]. Gaussian Processes for Machine Learning(2006).

    [10] Cruz F, Fuentes J M, Caro S. Nonlinear Channel Equalization with Gaussian Processes for Regression[J]. IEEE Trans.on Signal Processing, 56, 5283-5286(2008).

    [11] Pedregosa F, Varoquaux G, Gramfort A et al. Scikit-Learn: Machine Learning in Python[J]. Journal of Machine Learning Research, 12(2011).

    [12] Kamalov V, Jovanovski L, Vusirikala V et al. Evolution from 8QAM Live Traffic to PS 64-QAM with Neural-network based Nonlinearity Compensation on 11 000 km Open Subsea Cable[C], Th4D.5(2018).

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    Biao WU, Jia-hao LI, Zhao-cai ZHANG. Nonlinear Channel Equalization based on Gaussian Processes for Regression in Fiber Link[J]. Study On Optical Communications, 2022, 48(6): 35

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    Paper Information

    Category: Research Articles

    Received: May. 5, 2022

    Accepted: --

    Published Online: Feb. 14, 2023

    The Author Email: Zhao-cai ZHANG (zhangzhaocai@gmail.com)

    DOI:10.13756/j.gtxyj.2022.06.006

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