Acta Optica Sinica, Volume. 42, Issue 9, 0906001(2022)
Phase Recovery Algorithm for Adaptive Probabilistic Shaping Signal Based on K-means
Fig. 5. Radius relocation results. (a) Information entropy is 3.78 bit·symbol-1; (b) information entropy is 3.56 bit·symbol-1; (c) information entropy is 3.30 bit·symbol-1
Fig. 7. NGMI curves of 16QAM with different information entropy and different line width
Fig. 9. NGMI curves of 64QAM with different information entropy for different line width
Fig. 10. Simulation results. (a)(b) 4 bit·symbol-1 16QAM; (c)(d) 2.8 bit·symbol-1 16QAM; (e)(f) 6 bit·symbol-1 64QAM; (g)(h) 4.71 bit·symbol-1 64QAM
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Xiongwei Yang, Feng Zhao, Linxian Zhao, Zhao Meng. Phase Recovery Algorithm for Adaptive Probabilistic Shaping Signal Based on K-means[J]. Acta Optica Sinica, 2022, 42(9): 0906001
Category: Fiber Optics and Optical Communications
Received: Oct. 25, 2021
Accepted: Nov. 25, 2021
Published Online: May. 6, 2022
The Author Email: Zhao Feng (hfengzhao@xupt.edu.cn)