浏览全部资源
扫码关注微信
跨水面VLC链路对准与信号检测技术研究（特邀）
Research on Link Alignment and Signal Detection Technologies for Cross-water Visible Light Communication
- 光通信研究 2025年第4期
- 作者机构：
中山大学 电子与信息工程学院（微电子学院），广州 510275
- 作者简介：
闫红强（1999-），男，河北邯郸人。硕士，主要研究方向为可见光通信与人工智能技术。
江明，教授。E-mail：jiangm7@mail.sysu.edu.cn
- 基金信息：国家自然科学基金资助项目(62271516);广东省科技创新资助项目(2021TX06X126)
DOI：10.13756/j.gtxyj.2025.250001
中图分类号： TN929收稿日期：2025-01-01，
修回日期：2025-03-12，
纸质出版日期：2025-08-10
- 稿件说明：
移动端阅览
闫红强，江明. 跨水面VLC链路对准与信号检测技术研究[J]. 光通信研究，2025(4): 250001.
Yan H Q, Jiang M. Research on Link Alignment and Signal Detection Technologies for Cross-water Visible Light Communication[J]. Study on Optical Communications, 2025(4): 250001.
闫红强，江明. 跨水面VLC链路对准与信号检测技术研究[J]. 光通信研究，2025(4): 250001. DOI： 10.13756/j.gtxyj.2025.250001.
Yan H Q, Jiang M. Research on Link Alignment and Signal Detection Technologies for Cross-water Visible Light Communication[J]. Study on Optical Communications, 2025(4): 250001. DOI： 10.13756/j.gtxyj.2025.250001.
摘要
【目的】
2
随着通信网络技术向第六代移动通信技术（6G）快速演进发展，未来构建空天地海一体化的万物互联网成为可能。其中，跨水面可见光通信（VLC）技术已成为支撑上述新型网络的关键使能技术之一。
【方法】
2
文章针对现有跨介质水对空（W2A）VLC系统研究的不足，基于所构建的扩展W2A（eW2A）VLC信道模型，针对无人机（UAV）与自主水下载具（AUV）之间通信的W2A-VLC应用场景，提出了一种基于深度学习（DL）的链路对准（LA）方案，可实现收发机通信链路之间的对准。在完成光链路对准的基础上，文章进一步针对未知风速的信道环境设计了一种基于风速估计和信道分类的信号检测方案，可以有效提高W2A-VLC系统在不同水体及风速条件下的信号检测性能。
【结果】
2
计算结果显示，基于Lognormal和Gamma分布的拟合eW2A信道模型与蒙特卡洛信道仿真的数据匹配度较高，可以较好地模拟跨水面VLC信道的建模。仿真结果表明，在高信噪比区间及不同风速条件下，UAV位于2~30°之间4个角度层的角度估计准确率均可达到100%，具有较好的收敛性，可有效支持DL-LA方案实现UAV移动路径决策。此外，在1~10 m/s的风速区间内，文章所提基于风速估计（WE）和信道分类（CC）的符号检测（SD）方案，即WE-CC-SD方案，可在未经训练的未知风速条件下获得较高的WE准确率及接近理想信道状态条件下的比特误码率（BER）性能。
【结论】
2
上述结果证明了文章所提DL-LA和WE-CC-SD两种解决方案相比传统方案的优越性，该研究成果可为跨水面VLC技术的完善与发展提供有益参考。
Abstract
【Objective】
2
As communication network technologies rapidly evolve towards the 6th Generation Mobile Communication Technology (6G)
the future may see the emergence of an integrated internet of everything that covers space
sky
land
and sea scenarios. In this context
cross-water Visible Light Communication (VLC) has emerged as one of the key enabling technologies to support such a new network.
【Methods】
2
In this paper
we address the shortcomings of existing Water-to-Air (W2A) VLC systems with a Deep Learning (DL) aided Link Alignment (LA) scheme for a W2A-VLC system communication between Unmanned Aerial Vehicle (UAV) and Autonomous Underwater Vehicles (AUV)
based on the proposed extended W2A (eW2A) VLC channel model. Upon the aligned optical link between the transmitter and receiver
we further design a signal detection scheme based on a wind speed estimator and a channel classifier operating in a channel with unknown wind speeds.
【Results】
2
The results show that the fitted eW2A channel model based on Lognormal and Gamma distributions matches well with the channel data generated by Monte Carlo simulations
accurately modeling the cross-water VLC channel. Simulation results show that under high Signal-to-Noise Ratio (SNR) conditions and different wind speeds
the angle estimation accuracy of the four angular layers located between 2~30° for the UAV can reach 100%. The results exhibit good convergence and can effectively support the UAV path decision-making in the DL-LA scheme. Additionally
in the wind speed range of 1~10 m/s
the Wind-speed Estimation (WE) and Channel Classification (CC) aided Symbol Detection (SD)
namely the WE-CC-SD scheme
can work under untrained unknown wind speeds. This scheme can achieve a high accuracy of WE and a Bit Error Rate (BER) performance close to that achieved under ideal channel state conditions.
【Conclusion】
2
The above results validate the superiority of the proposed DL-LA and WE-CC-SD schemes over traditional methods. The findings can provide valuable references for the improvement and development of cross-water VLC technologies.
关键词
Keywords
references
Wang Z , Du Y , Wei K , et al . Vision, Application Scenarios, and Key Technology Trends for 6G Mobile Communications [J ] . Science China Information Sciences , 2022 , 65 ( 5 ): 151301 .
Mobley C D . Light and Water: Radiative Transfer in Natural Waters [M ] . San Diego, USA : Academic Press , 1994 .
Lin T , Gong C , Luo J , et al . Dynamic Optical Wireless Communication Channel Characterization through Air-water Interface [C ] // 2020 IEEE/CIC International Conference on Communications in China (ICCC Workshops) . Chongqing, China : IEEE , 2020 : 9209928 .
Lin T , Huang N , Gong C , et al . Preliminary Characterization of Coverage for Water-to-air Visible Light Communication through Wavy Water Surface [J ] . IEEE Photonics Journal , 2021 , 13 ( 1 ): 7901013 .
Lin T , Fu C , Wei T , et al . Waving Effect Characterization for Water-to-air Optical Wireless Communication [J ] . Journal of Lightwave Technology , 2022 , 41 ( 1 ): 120 - 136 .
Sun X , Kong M , Alkhazragi O A , et al . Field Demonstrations of Wide-beam Optical Communications through Water-Air Interface [J ] . IEEE Access , 2020 , 8 : 160480 - 160489 .
Liu W , Zou D , Xu Z , et al . Non-line-of-sight Scattering Channel Modeling for Underwater Optical Wireless Communication [C ] // 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) . Shenyang, China : IEEE , 2015 : 7288125 .
Lin J , Du Z , Yu C , et al . Machine-vision-based Acquisition, Pointing, and Tracking System for Underwater Wireless Optical Communications [J ] . Chinese Optics Letters , 2021 , 19 ( 5 ): 050604 .
Islam M S , Younis M . An Adaptive DPPM for Efficient and Robust Visible Light Communication Across the Air-water Interface [C ] // 2020 29th Wireless and Optical Communications Conference (WOCC) . Newark, NJ, USA : IEEE , 2020 : 1 - 6 .
Wang Z , Zhong W D , Yu C . Performance Improvement of OOK Free-space Optical Communication Systems by Coherent Detection and Dynamic Decision Threshold in Atmospheric Turbulence Conditions [J ] . IEEE Photonics Technology Letters , 2012 , 24 ( 22 ): 2035 - 2037 .
Sun X , Kong M , Shen C , et al . On the Realization of Across Wavy Water-air-interface Diffuse-line-of-sight Communication based on an Ultraviolet Emitter [J ] . Optics Express , 2019 , 27 ( 14 ): 19635 - 19649 .
Lu H , Jiang M , Cheng J . Deep Learning Aided Robust Joint Channel Classification, Channel Estimation, and Signal Detection for Underwater Optical Communication [J ] . IEEE Transactions on Communications , 2021 , 69 ( 4 ): 2290 - 2303 .
Jiang R , Sun C , Zhang L , et al . Deep Learning Aided Signal Detection for SPAD-based Underwater Optical Wireless Communications [J ] . IEEE Access , 2020 , 8 : 20363 - 20374 .
Lu H , Chen W , Jiang M . Deep Learning Aided Misalignment-robust Blind Receiver for Underwater Optical Communication [J ] . IEEE Wireless Communications Letters , 2021 , 10 ( 9 ): 1984 - 1988 .
Wang J , Luo H , Ruby R , et al . Reliable Water-air Direct Wireless Communication: Kalman Filter-assisted Deep Reinforcement Learning Approach [C ] // 2022 IEEE 47th Conference on Local Computer Networks (LCN) . Edmonton, AB, Canada : IEEE , 2022 : 9843503 .
Yan H , Zhao L , Jiang M , et al . Deep Learning based Demodulation for Visible Light Communication in Extended Water-to-air Channels [C ] // 2024 IEEE/CIC International Conference on Communications in China (ICCC) . Hangzhou, China : IEEE , 2024 : 10681704 .
Jamali M V , Mirani A , Parsay A , et al . Statistical Studies of Fading in Underwater Wireless Optical Channels in the Presence of Air Bubble, Temperature, and Salinity Random Variations [J ] . IEEE Transactions on Communications , 2018 , 66 ( 10 ): 4706 - 4723 .
李祥震 , 苗希彩 , 亓晓 , 等 . 复杂海况下激光气-海信道传输特性 [J ] . 光学学报 , 2018 , 38 ( 3 ): 301002 .
Li X Z , Miao X C , Qi X , et al . Laser Atmosphere-seawater Channel Transmission Characteristics under Complicated Sea Conditions [J ] . Acta Optica Sinica , 2018 , 38 ( 3 ): 301002 .
Puri P , Garg P , Aggarwal M . Analysis of Spectrally Efficient Two-way Relay Assisted Free Space Optical Systems in Atmospheric Turbulence with Path Loss [J ] . International Journal of Communication Systems , 2016 , 29 ( 1 ): 99 - 112 .
0
浏览量
0
下载量
0
CSCD
0
CNKI被引量
- 网络PDF下载
- Meta-XML下载
- BibTeX下载
- Endnote下载
- RefMan 下载
- NoteExpress下载
- NoteFirst下载
关联资源
相关文章
相关作者
相关机构
- 地址：武汉市江夏区高新四路6号烽火科技园4号楼3层 邮编：430205
- 技术支持由北京北大方正电子有限公司提供 鄂ICP备2022010197
鄂公网安备 42011202002092号 - 本系统建议在Chrome、 IE9+ 以上版本浏览器阅读本站内容，360浏览器请切换至极速模式
- Cookies帮助我们提供服务并提供个性化体验。使用本网站，即表示您同意我们使用Cookies
- 总访问量：222510 今日访问量：28