Proceedings of the 8th EAI International Conference on Green Energy and Networking, GreeNets 2021, June 6-7, 2021, Dalian, People’s Republic of China

Research Article

Underwater image transmission system based on visible light communication

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  • @INPROCEEDINGS{10.4108/eai.6-6-2021.2306758,
        author={Yang  Zhou and Jinpeng  Wang and Xin  Guan and Teng  Zhang and Bo  Li and Nianyu  Zou},
        title={Underwater image transmission system based on visible light communication},
        proceedings={Proceedings of the 8th EAI International Conference on Green Energy and Networking, GreeNets 2021, June 6-7, 2021, Dalian, People’s Republic of China},
        publisher={EAI},
        proceedings_a={GREENETS},
        year={2021},
        month={8},
        keywords={underwater visible light communication image transmission detection algorithm},
        doi={10.4108/eai.6-6-2021.2306758}
    }
    
  • Yang Zhou
    Jinpeng Wang
    Xin Guan
    Teng Zhang
    Bo Li
    Nianyu Zou
    Year: 2021
    Underwater image transmission system based on visible light communication
    GREENETS
    EAI
    DOI: 10.4108/eai.6-6-2021.2306758
Yang Zhou1, Jinpeng Wang1,*, Xin Guan1, Teng Zhang1, Bo Li1, Nianyu Zou1
  • 1: Dalian Polytechnic University
*Contact email: wangjp@dlpu.edu.cn

Abstract

In order to improve the image transmission quality of underwater visible light communication, this paper designs an optimal scheme of the underwater image transmission system based on blue visible light communication. In the hardware circuit module, the trans-impedance amplifier circuit of the T-feedback network is used to improve the signal receiving performance. Due to the bad feature of the underwater channel, a fast likelihood blind detecting algorithm was adopted to detect, collect and process the data in this article. The method proposed in the paper is able to reduce BER (Bit Error Rate) as well as speed up computation. It can be seen from the experimental results that the scheme of the system optimization effectively decreases DC bias of the photoelectric receiver, as well as decreases the computation complexity and improves the transmitting efficiency under the condition of meeting the requirements for the specific BER of the receiving signal.