基于增益反馈控制的水下移动光通信技术研究

刘杰徽; 马麟; 朱森荣; 何祖源

doi:10.13756/j.gtxyj.2023.04.011

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基于增益反馈控制的水下移动光通信技术研究

专题：水下光通信技术 | 更新时间：2023-08-14

- 基于增益反馈控制的水下移动光通信技术研究
- Research on Underwater Mobile Optical Communication Technology based on Gain Feedback Control
- 光通信研究 2023年第4期页码：68-72
- 作者机构：
  
  1.上海交通大学　区域光纤通信网与新型光通信系统国家重点实验室，上海　200240
  2.重庆前卫科技集团有限公司，重庆　401121
- 作者简介：
  
  刘杰徽（1986-），男，四川营山人。高级工程师，博士，主要研究方向为水下可见光通信。
  马麟，研究员。E-mail：ma.lin@sjtu.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(62275150)
- DOI：10.13756/j.gtxyj.2023.04.011
  中图分类号： TN929
- 纸质出版日期：2023-08-10，
  
  收稿日期：2023-04-27，
  
  修回日期：2023-05-06，
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刘杰徽，马麟，朱森荣，等.基于增益反馈控制的水下移动光通信技术研究[J].光通信研究，2023(4):68-72.

Liu J H, Ma L, Zhu S R, et al. Research on Underwater Mobile Optical Communication Technology based on Gain Feedback Control [J].Study on Optical Communications, 2023(4):68-72.
刘杰徽，马麟，朱森荣，等.基于增益反馈控制的水下移动光通信技术研究[J].光通信研究，2023(4):68-72. DOI： 10.13756/j.gtxyj.2023.04.011.

Liu J H, Ma L, Zhu S R, et al. Research on Underwater Mobile Optical Communication Technology based on Gain Feedback Control [J].Study on Optical Communications, 2023(4):68-72. DOI： 10.13756/j.gtxyj.2023.04.011.

摘要

在水下移动可见光通信系统中，当传输距离改变时，因水具有较大固有吸收，接收光功率会发生显著变化。文章提出了一种基于增益反馈控制（GFC）的水下移动可见光通信技术，拓展了通信距离和视场角（FOV）的动态范围。在移动速度为0.13 m/s条件下，实现了通信距离0.9~5.2 m任意可调速率5.0 Mbit/s、像素为800×600且帧率（FPS）不为零的实时双工视频传输。与没有使用GFC方法的系统相比，其通信距离和FOV的动态范围分别增长了5.3和2.8倍。为了进一步验证该系统的性能，文章还测试了不同移动速度下系统的平均闪烁指数、数据传输中断概率及误码率（BER）。在通信距离的动态范围内，随着移动速度增大，平均闪烁指数及BER相应增大，但即使移动速度达到系统可实现的最大速度0.83 m/s时，通信仍未中断，说明该系统具有良好的鲁棒性，在水下移动可见光通信领域具有良好的应用前景。

Abstract

In underwater mobile visible light communication systems

the received optical power varies significantly when the transmission distance changes due to the large intrinsic absorption of water. This paper proposes an underwater mobile visible light communication technology based on Gain Feedback Control (GFC)

which expands the dynamic range of both communication distance and Field of View (FOV). At a moving speed of 0.13 m/s

we achieved real-time duplex video transmission with adjustable communication distances between 0.9~5.2 m

data rates of 5.0 Mbit/s

video pixels of 800×600

and Frames Per Second (FPS) greater than zero. Compared with the system without GFC

the dynamic range of communication distance and receiving FOV angle has expanded to 5.3 and 2.8 times

respectively. In order to further verify the performance of the system

we measured the average scintillation index

data transmission outage probability

and Bit Error Rate (BER) of the system at different moving speeds. Within the dynamic range of communication distance

as the moving speed increases

the average scintillation index and BER correspondingly increase. However

even when the moving speed reaches 0.83 m/s

which is the maximum speed of the system

communication remains uninterrupted. Our results indicate that the system has good robustness and has good potential underwater mobile communication applications.

关键词

可见光通信移动通信视频通信动态范围

Keywords

visible light communicationmobile communicationvideo communicationdynamic range

references

Zou P, Zhao Y H, Hu F C, et al. Underwater Visible Light Communication at 3.24 Gb/s Using Novel Two-dimensional Bit Allocation [J]. Optics Express, 2020, 28(8):11319-11338.

Wang F M, Liu Y F, Shi M, et al. 3.075 Gb/s Underwater Visible Light Communication Utilizing Hardware Pre-equalizer with Multiple Feature Points [J]. Optical Engineering, 2019, 58(5):056117.

Chen M, Zou P, Zhang L, et al. Demonstration of a 2.34 Gbit/s Real-time Single Silicon-substrate Blue LED-based Underwater VLC System [J]. IEEE Photonics Journal, 2020, 12(1):2958969.

Bian R, Tavakkolnia I.15.73 Gb/s Visible Light Communication with Off-the-Shelf LEDs [J]. Journal of Lightwave Technology, 2019, 37(10):2418-2424.

Sawa T. Study of Adaptive Underwater Optical Wireless Communication with Photomultiplier Tube[R]. Yokosuka, Japan: Japan Agency for Marine-Earth Science and Technology, 2017.

Fasham S, Dunn S. BlueComm 200-Underwater Optical Communications and Data Transfer Modem[EB/OL].(2019-01-01)[2023-04-27].https://www.sonardyne.com/product/bluecomm-200-wireless-underwater-link/https://www.sonardyne.com/product/bluecomm-200-wireless-underwater-link/.

Oubei H M, Zedini E, EIAfandy T R, et al. Simple Statistical Channel Model for Weak Temperature-induced Turbulence in Underwater Wireless Optical Communication Systems [J]. Optics Letters, 2017, 42(13): 2455-2458.

Zedini E, Oubei H M, Kammoun A, et al. Unified Statistical Channel Model for Turbulence-induced Fading in Underwater Wireless Optical Communication Systems [J]. IEEE Transactions on Communications, 2019, 67(4):2893-2907.

Tang S J, Dong Y H, Zhang X D. Impulse Response Modeling for Underwater Wireless Optical Communication Links [J]. IEEE Transactions on Communications, 2014, 62(1):226-234.

Jamali M V, Khorramshahi P, Tashakori A, et al. Statistical Distribution of Intensity Fluctuations for Underwater Wireless Optical Channels in the Presence of Air Bubbles [C]//Iran Workshop on Communication and Information Theory. Tehran, Iran: IEEE, 2016:7491626.

Ning J, Gao G J, Zhang J L, et al. Adaptive Receiver Control for Reliable High-speed Underwater Wireless Optical Communication with Photomultiplier Tube Receiver [J]. IEEE Photonics Journal, 2021, 13(4):3089781.

Jin J, Lu H, Wang J, et al. Adaptive Feedback Threshold based Demodulation for Mobile Visible Light Communication and Positioning Integrated System [J]. Optics Express, 2022, 30(8):13331-13344.

Song P C, Wu Z Y, Wang J.Mitigating End-to-end Nonlinearity in LED-based VLC Transceivers Via an Optical Intensity Feedback [J]. Optics Letters, 2022, 47(15):3688-3691.

Shen J N, Wang J L, Chen X, et al. Towards Power-efficient Long-reach Underwater Wireless Optical Communication Using a Multi-pixel Photon Counter [J]. Optics Express, 2018, 26(18):23565-23571.

王超.水下可见光通信单光子检测关键技术研究[D].郑州:战略支援部队信息工程大学, 2018.

Wang C. Research on the Key Technology of Single Photon Detection in Underwater Visible Light Communications [D]. Zhengzhou: Strategic Support Force Information Engineering University, 2018.

Deng X, Wu Y, Khalid A M, et al. LED Power Consumption in Joint Illumination and Communication System[J].Optics Express, 2017, 25(16), 18990-19003.

刘杰徽, 何英, 胡锋, 等.基于PIN的水下可见光双向语音通信试验研究[J].光通信研究, 2022(3):65-71.

Liu J H, He Y, Hu F, et al. Experimental Research on Underwater Visible Light Two-way Voice Communication based on PIN [J]. Study on Optical Communications, 2022(3):65-71.

蒋红艳.湍流信道下的水下无线光通信关键性能研究[D]. 桂林:桂林电子科技大学, 2021.

Jiang H Y.Key Performance of the Underwater Wireless Optical Communication over Turbulent Channels [D]. Guilin: Guilin University of Electronic Technology, 2021.

Guo Y J, Trichili A, Alkhazragi O, et al. On the Reciprocity of Underwater Turbulent Channels [J]. IEEE Photonics Journal, 2019, 11(2): 2898094.

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