Acta Optica Sinica, Volume. 42, Issue 4, 0406004(2022)

Deep Learning-Based Recognition of Modes and Mode Groups in Multimode Optical Fiber Communication System

Jinkun Hu1, Xiaojie Guo1, Jianping Li2,3、*, Ou Xu2,3, Meng Xiang2,3, Di Peng2,3, Songnian Fu2,3, and Yuwen Qin2,3
Author Affiliations
  • 1Institute of Photonics Technology, Jinan University, Guangzhou, Guangdong 510632, China
  • 2School of Information Engineering, Guangdong University of Technology, Guangzhou, Guangdong 510006, China
  • 3Guangdong Provincial Key Laboratory of Information Photonics Technology, Guangzhou, Guangdong 510006, China
  • show less
    Figures & Tables(7)
    Some modes and their mode groups supported by multimode fiber
    Intelligent mode /mode group recognition model based on LeNet-5 CNN
    Simulation results of recognition of different linear polarization modes under different noise intensities. (a) Optical field of LP11a mode; (b) recognition rate of LP11a mode; (c) variation of multiclass logarithmic loss function; (d) mode prediction result of each mode of recognition model
    Recognition results of linear polarization mode groups obtained by recognition model with noise intensity of 20%. (a) Recognition rate; (b) multiclass logarithmic loss function
    Intensity profiles of multimode superimposed light field in mode group. (a) Simulated light field intensity distributions; (b) intensity distributions of output optical field of multimode fiber
    Experimental setup of multimode fiber mode group receiving system
    Experimental results of mode group classification and recognition when arrays of light detectors of different sizes are used to receive light field. (a) Variation of recognition rate; (b) variation of multiclass logarithmic loss function
    Tools

    Get Citation

    Copy Citation Text

    Jinkun Hu, Xiaojie Guo, Jianping Li, Ou Xu, Meng Xiang, Di Peng, Songnian Fu, Yuwen Qin. Deep Learning-Based Recognition of Modes and Mode Groups in Multimode Optical Fiber Communication System[J]. Acta Optica Sinica, 2022, 42(4): 0406004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jun. 24, 2021

    Accepted: Sep. 6, 2021

    Published Online: Jan. 29, 2022

    The Author Email: Li Jianping (jianping@gdut.edu.cn)

    DOI:10.3788/AOS202242.0406004

    Topics