Chinese Optics Letters, Volume. 23, Issue 6, 060601(2025)

Machine vision-based intelligent turbulence perception for underwater wireless optical communication

Yan Jia, Zhitong Huang*, Jie Xu, Hongcheng Qiu, Yi Gao, and Yuefeng Ji
Author Affiliations
  • State Key Laboratory of Information Photonics and Optical Communications (IPOC), School of Information and Communication Engineering (SICE), Beijing University of Posts and Telecommunications, Beijing 100876, China
  • show less
    Figures & Tables(9)
    Block diagram of the MV-ITP mechanism. AUV, autonomous underwater vehicle.
    Experimental setup.
    Typical cropped images under four different thermohaline gradients.
    Typical waveforms and typical images under nine different thermohaline gradients.
    Histogram of scintillation index for nine thermosaline gradients.
    Typical images under four different bubble rates.
    Typical images under different bubble rates when the temperature gradient is 0.1°C/cm.
    Typical waveforms and typical images under different temperature gradients and different bubble rates.
    Scintillation indices under different bubble rates and different temperature gradients.
    Tools

    Get Citation

    Copy Citation Text

    Yan Jia, Zhitong Huang, Jie Xu, Hongcheng Qiu, Yi Gao, Yuefeng Ji, "Machine vision-based intelligent turbulence perception for underwater wireless optical communication," Chin. Opt. Lett. 23, 060601 (2025)

    Download Citation

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

    Category: Fiber Optics and Optical Communications

    Received: Aug. 29, 2024

    Accepted: Dec. 18, 2024

    Posted: Dec. 19, 2024

    Published Online: May. 19, 2025

    The Author Email: Zhitong Huang (hzt@bupt.edu.cn)

    DOI:10.3788/COL202523.060601

    CSTR:32184.14.COL202523.060601

    Topics