Acta Optica Sinica, Volume. 45, Issue 9, 0906004(2025)

Phase Noise Compensation Scheme Based on End-to-End Deep Learning

Rui Huang1, Qinghua Tian1、*, Zuxian Li1, Yiqun Pan1, Fu Wang1, Feng Tian1, Sitong Zhou1, Yongjun Wang1, and Xiangjun Xin2
Author Affiliations
  • 1School of Electronic Engineering, State Key Laboratory of Information Photonics and Optical Communications, Beijing Key Laboratory of Space-Ground Interconnection and Convergence, Beijing University of Posts and Telecommunication, Beijing 100876, China
  • 2School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
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    References(36)

    [14] Xiang Q, Yang Y F, Zhang Q et al. Modulation-transparent and robust frequency offset and phase tracking scheme using self-learning Kalman filter for intelligent receiver[J]. Journal of Lightwave Technology, 39, 7427-7434(2021).

    [15] Chen Z X, Cai J, Zhang H B et al. Fiber nonlinear impairment compensation based on multi-source domain transfer learning[J]. Advanced Photonics, 51, 230147(2025).

    [17] Sun M, Fang N. Interpretable feature selection method for optical-fiber disturbance signal recognition[J]. Acta Optica Sinica, 44, 2106007(2024).

    [18] Zhang Y, Ye X W, Cao M H et al. Deep learning-aided faster-than-Nyquist rate optical spatial pulse position modulation[J]. Acta Optica Sinica, 44, 0506003(2024).

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    Rui Huang, Qinghua Tian, Zuxian Li, Yiqun Pan, Fu Wang, Feng Tian, Sitong Zhou, Yongjun Wang, Xiangjun Xin. Phase Noise Compensation Scheme Based on End-to-End Deep Learning[J]. Acta Optica Sinica, 2025, 45(9): 0906004

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jan. 4, 2025

    Accepted: Mar. 11, 2025

    Published Online: May. 20, 2025

    The Author Email: Qinghua Tian (tianqh@bupt.edu.cn)

    DOI:10.3788/AOS250439

    CSTR:32393.14.AOS250439

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