Acta Optica Sinica, Volume. 45, Issue 9, 0906004(2025)
Phase Noise Compensation Scheme Based on End-to-End Deep Learning
[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
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)
CSTR:32393.14.AOS250439