Blind back-propagation method for fiber nonlinearity compensation with low computational complexity and high performance

被引:5
|
作者
Zhou, Junhe [1 ,2 ]
Wang, Yuheng [1 ]
Zhang, Yunwang [1 ]
机构
[1] Tongji Univ, Dept Elect Sci & Engn, Shanghai 200092, Peoples R China
[2] Tongji Univ, Shanghai Inst Intelligent Sci & Technol, Shanghai 200092, Peoples R China
来源
OPTICS EXPRESS | 2020年 / 28卷 / 08期
基金
中国国家自然科学基金;
关键词
DIGITAL BACKPROPAGATION; IMPAIRMENT COMPENSATION; EQUALIZER;
D O I
10.1364/OE.387572
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In this paper, a blind back-propagation (BP) method for fiber nonlinearity compensation with low computational complexity and high performance is proposed. The BP method compensates the fiber chromatic dispersion step by step. Between two linear steps, the proposed method compensates the fiber nonlinearity with the nonlinear tap coefficients optimized by the nonlinear least square method (NLSM). Unlike the traditional BP method, the proposed method takes into account the SPM, the intra-channel XPM and the intra-channel FWM effects while it is purely blind and requires no prior information of the transmission link except the total accumulated chromatic dispersion, e.g., the BP step in the proposed algorithm can be set as an arbitrary value which has no connection to the physical span length. The computational complexity of the proposed method is much lower (less than 50%) than the conventional BP method with one step per span, because of the reduction of the total number of steps. Meanwhile, the method improves the nonlinearity compensation performance in comparison to the standard BP method with one step per span at the optimal input power while maintaining the same computational complexity. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
引用
收藏
页码:11424 / 11438
页数:15
相关论文
共 50 条
  • [21] Performance Dependence of Single-Carrier Digital Back-Propagation on Fiber Types and Data Rates
    Napoli, Antonio
    Rafique, Danish
    Spinnler, Bernhard
    Kuschnerov, Maxim
    Noelle, Markus
    Bohn, Marc
    2014 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC), 2014,
  • [22] Marked performance improvement of 256 QAM transmission using a digital back-propagation method
    Toyoda, Kazushi
    Koizumi, Yuki
    Omiya, Tatsunori
    Yoshida, Masato
    Hirooka, Toshihiko
    Nakazawa, Masataka
    OPTICS EXPRESS, 2012, 20 (18): : 19815 - 19821
  • [23] Modeling Slump Flow of High-Performance Concrete Using a Back-Propagation Network
    Chien, Wen-Huan
    Chen, Li
    Wei, Chih-Chiang
    Hsu, Hsun-Hsin
    Wang, Tai-Sheng
    INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS, PTS 1 AND 2, 2010, : 838 - +
  • [24] An integral split-step fourier method for digital back propagation to compensate fiber nonlinearity
    Yang, Jie
    Yu, Song
    Li, Minliang
    Chen, Zhixiao
    Han, Yi
    Gu, Wanyi
    OPTICS COMMUNICATIONS, 2014, 312 : 80 - 84
  • [25] Digital back-propagation optimization for high-baudrate single-channel optical fiber transmissions
    Dien, Nguyen V.
    Son, Le T.
    Tuan, Nguyen V.
    Tien, Ho P.
    Vien, Nguyen D. N.
    Hung, Nguyen L.
    Hung, Nguyen T.
    OPTICS COMMUNICATIONS, 2021, 491
  • [26] Temperature Error Compensation for Open-Loop Fiber Optical Gyro using Back-Propagation Neural Networks with Optimal Structure
    Song, Limei
    Zhang, Wei
    2014 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2014, : 303 - 308
  • [27] Low-Complexity Fiber Nonlinearity Compensation Based on Operator Learning Over 12 075 km Single Model Fiber
    He, Xingchen
    Yan, Lianshan
    Jiang, Lin
    Yi, Anlin
    Yu, Youren
    Pu, Zhengyu
    Pan, Wei
    Luo, Bin
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2024, 42 (23) : 8117 - 8126
  • [28] Time Domain Equalization and Digital Back-Propagation Method-Based Receiver for Fiber Optic Communication Systems
    Muhammad, Fazal
    Ali, Farman
    Habib, Usman
    Usman, Muhammad
    Khan, Imran
    Kim, Sunghwan
    INTERNATIONAL JOURNAL OF OPTICS, 2020, 2020
  • [29] Low complexity digital back propagation method using phase linear approximation for nonlinear distortion compensation for long haul transmission systems
    Takano, Shin
    Uenohara, Hiroyuki
    IEICE COMMUNICATIONS EXPRESS, 2018, 7 (07): : 236 - 241
  • [30] Low-Complexity Fiber Nonlinearity Impairments Compensation Enabled by Simple Recurrent Neural Network With Time Memory
    Zhao, Yan
    Chen, Xue
    Yang, Tao
    Wang, Liqian
    Wang, Danshi
    Zhang, Zhiguo
    Shi, Sheping
    IEEE ACCESS, 2020, 8 : 160995 - 161004