Application of decision feedback equalisers based on multilayer neural network structures to compensate for optical fibre dispersion and nonlinearity

被引：0
|
作者：
Yunxi, L. [1 ]
机构：
[1] UCL, Dept Elect & Elect Engn, London WC1E 7JE, England
来源：
IET OPTOELECTRONICS | 2007年 / 1卷 / 04期
关键词：
D O I：
10.1049/iet-opt:20060097
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Decision feedback equalisers (DFE) based on multilayer neural networks (MNNs) structure are simulated in a 10 Gbit/s optical channel of standard single mode fibre of 300 km. Simulation results show that the DFE based on the MNN structure significantly outperforms the traditional DFE in the equalisation of chromatic dispersion in medium to long haul optical communications (> 220 km).
引用
收藏
页码：169 / 174
页数：6
相关论文
共 50 条
  • [41] A Novel RBF Neural Network Based on Data Dispersion Level and Its Application in BOF Endpoint Prediction
    Zhang Yu-xian
    Liu Tong
    Wang Jian-hui
    2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 1900 - 1903
  • [42] FBMC-based dispersion compensation using artificial neural network equalization for long reach-passive optical network
    Julus, L. Jerart
    Manimegalai, D.
    Chakkaravarthy, S. Sibi
    INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2020, 18 (01)
  • [43] Lifelong learning-based multilayer neural network control of nonlinear continuous-time strict-feedback systems
    Ganie, Irfan Ahmad
    Jagannathan, S.
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2024, 34 (02) : 1397 - 1416
  • [44] Optical fibre-based reflective displacement sensor: computer modeling and application to impact detection in aeronautical structures
    Amorebieta, Josu
    Garcia, Iker
    Durana, Gaizka
    Aldabaldetreku, Gotzon
    Zubia, Joseba
    Saez de Ocariz, Idurre
    OPTICAL MEASUREMENT SYSTEMS FOR INDUSTRIAL INSPECTION X, 2017, 10329
  • [45] Application of Deep Learning Algorithms Based on the Multilayer YOLOv8 Neural Network to Identify Fungal Keratitis
    Sitnova, A. V.
    Valitov, E. R.
    Svetozarskiy, S. N.
    SOVREMENNYE TEHNOLOGII V MEDICINE, 2024, 16 (04) : 5 - 13
  • [46] Mechanism research and application on distributed optical fibre temperature measurement in coalmine goaf area based on the sensor network
    Zhao, Qian
    Zhang, Ying-hua
    Gao, Yu-kun
    Ji, Yu-cheng
    Huang, Zhi-an
    INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2016, 20 (02) : 104 - 110
  • [47] Development of Home Intelligent Fall Detection IoT System Based on Feedback Optical Flow Convolutional Neural Network
    Hsieh, Yi-Zeng
    Jeng, Yu-Lin
    IEEE ACCESS, 2018, 6 : 6048 - 6057
  • [48] Application of intelligent decision system based on artificial neural network in free forging of the engine main shaft
    Xu, Shucong
    Yuan, Lin
    Shan, Debin
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 133 (3-4): : 1685 - 1698
  • [49] Research on Modeling and Application of Anti-Submarine Decision-Aided System Based on Neural Network
    Wang, Fenfen
    Tian, Haiming
    Tin, Jiangfeng
    Yuan, WanYong
    Zhang, Tong
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 5184 - 5189
  • [50] Information systems based on neural network and wavelet methods with application to decision making, modeling and prediction tasks
    Karras, DA
    Karkanis, SA
    Mertzios, BG
    KYBERNETES, 1998, 27 (03) : 224 - +
12345