浏览全部资源
扫码关注微信
基于BiGRU的水下可见光通信调制格式识别研究
Research on Modulation Format Recognition for Underwater Visible Light Communication based on BiGRU
- 光通信研究 2025年第2期
- 作者机构：
1.复旦大学 通信科学与工程系 电磁波信息科学教育部重点实验室，上海 200433
2.上海低轨卫星通信与应用工程技术研究中心，上海 200433
3.上海市低轨卫星通信技术协同创新中心，上海 200433
- 作者简介：
高文笛（1998-），男，河南平顶山人。硕士，主要研究方向为可见光通信。
迟楠，教授。E-mail：nanchi@fudan.edu.cn
- 基金信息：国家重点研发计划资助项目(2022YFB2802803);国家自然科学基金资助项目(61925104;62031011)
DOI：10.13756/j.gtxyj.2025.240023
中图分类号： TN929收稿：2024-02-03，
修回：2024-02-23，
纸质出版：2025-04-10
- 稿件说明：
移动端阅览
高文笛，汪昀楷，徐迟，等. 基于BiGRU的水下可见光通信调制格式识别研究[J].光通信研究，2025(2)：240023.
Gao W D, Wang Y K, Xu C, et al. Research on Modulation Format Recognition for Underwater Visible Light Communication based on BiGRU[J]. Study on Optical Communications, 2025(2): 240023.
高文笛，汪昀楷，徐迟，等. 基于BiGRU的水下可见光通信调制格式识别研究[J].光通信研究，2025(2)：240023. DOI： 10.13756/j.gtxyj.2025.240023.
Gao W D, Wang Y K, Xu C, et al. Research on Modulation Format Recognition for Underwater Visible Light Communication based on BiGRU[J]. Study on Optical Communications, 2025(2): 240023. DOI： 10.13756/j.gtxyj.2025.240023.
摘要
【目的】
2
水下可见光通信（UVLC）作为替代传统声波通信的前沿技术，以其高速率、大带宽、低延迟和高安全性获得了广泛关注，但同时也面临着水下信道环境复杂、信号功率衰减和光电器件不理想等因素导致的非线性效应等挑战。这些低信噪比（SNR）和非线性效应引起的信号劣化，会导致接收端难以正确识别并解调出原信号，而正确识别出信号调制格式才能为后续使用其他算法，如非线性补偿和频率偏移补偿，来提升通信性能打下基础。文章旨在解决UVLC系统中调制格式识别（MFR）的性能限制问题，特别关注在复杂水下环境中提高识别准确率和系统鲁棒性。
【方法】
2
针对以上问题，文章提出了一种结合双向门控循环单元（BiGRU）和坐标变换的创新MFR算法。文章所提算法充分利用BiGRU在时序数据处理上的优势和坐标变换的高效性，有效提取信号特征，显著提高了在水下环境中MFR的准确性。
【结果】
2
实验结果显示，在不同发射电压条件下，该算法对2正交振幅调制（QAM）、4QAM、8QAM、8幅度相移键控（APSK）、16QAM、16APSK、32QAM、32APSK、64QAM和64APSK共10种QAM和APSK信号调制格式的识别准确率均超过96%，训练速度提高了1倍，并且在低SNR和非线性失真环境下鲁棒性显著。
【结论】
2
文章所提算法显著提升了UVLC系统在复杂水下环境中的MFR性能，具有重要的应用价值和技术创新点，为未来水下高速通信技术的发展奠定了基础。
Abstract
【Objective】
2
Underwater Visible Light Communication (UVLC)
as a cutting-edge technology replacing traditional acoustic communication
has garnered widespread attention due to its high data rates
broad bandwidth
low latency
and enhanced security. However
it also faces challenges such as the complexity of underwater channel environments
signal power attenuation
and the imperfections of optoelectronic devices leading to nonlinear effects. The signal degradation caused by these low Signal-to-Noise Ratio (SNR) and nonlinear effects can make it difficult for the receiving end to correctly identify and demodulate the original signal. However
accurately identifying the signal modulation format lays the foundation for subsequent use of other algorithms
such as nonlinear compensation and frequency offset compensation
to enhance communication performance. Hence
this study aims to address the performance limitations in Modulation Format Recognition (MFR) within UVLC systems
with a special focus on improving recognition accuracy and system robustness in complex underwater environments.
【Methods】
2
To address these issues
we propose an innovative MFR algorithm that combines Bidirectional Gated Recurrent Units (BiGRU) with coordinate transformation. This algorithm leverages the advantages of BiGRU in sequential data processing and the efficiency of coordinate transformation to effectively extract the signal features
significantly enhancing the modulation format recognition accuracy in underwater environments.
【Results】
2
Experimental results demonstrate that under various transmission voltage conditions
the algorithm achieves recognition accuracy rates exceeding 96% for ten different Quadrature Amplitude Modulation (QAM) and Amplitude Phase Shift Keying (APSK) signal modulation formats
including 2QAM
4QAM
8QAM
8APSK
16QAM
16APSK
32QAM
32APSK
64QAM and 64APSK. The training speed has doubled
and robustness in low SNR and nonlinear distortion conditions is significantly improved.
【Conclusion】
2
The algorithm proposed in this study notably enhances the MFR performance in complex underwater environments for UVLC systems
holding significant application value and technological innovation. It lays the groundwork for the future development of high-speed underwater communication technologies.
关键词
Keywords
references
You X , Wang C X , Huang J , et al . Towards 6G Wireless Communication Networks: Vision, Enabling Technologies, and New Paradigm Shifts [J ] . Science China Information Sciences , 2020 , 64 ( 1 ): 110301 .
Zong B , Fan C , Wang X , et al . 6G Technologies: Key Drivers, Core Requirements, System Architectures, and Enabling Technologies [J ] . IEEE Vehicular Technology Magazine , 2019 , 14 ( 3 ): 18 - 27 .
迟楠 , 王超凡 , 李韦萍 , 等 . 基于蓝绿光LED的水下可见光通信技术研究进展 [J ] . 复旦学报：自然科学版 , 2019 , 58 ( 5 ): 537 - 548 .
Chi N , Wang C F , Li W P , et al . Research Progress of Underwater Visible Light Communication Technology based on Blue/Green LED [J ] . Journal of Fudan University: Natural Science , 2019 , 58 ( 5 ): 537 - 548 .
Amanor D N , Edmonson W W , Afghah F . Intersatel-lite Communication System based on Visible Light [J ] . IEEE Transactions on Aerospace and Electronic Systems , 2018 , 54 ( 6 ): 2888 - 2899 .
Song A , Stojanovic M , Chitre M . Editorial Underwater Acoustic Communications: Where we Stand and What Is Next？ [J ] . IEEE Journal of Oceanic Engineering , 2019 , 44 ( 1 ): 1 - 6 .
Baggeroer A . Acoustic Telemetry-an Overview [J ] . IEEE Journal of Oceanic Engineering , 1984 , 9 ( 4 ): 229 - 235 .
Duntley S Q . Light in the Sea [J ] . Journal of the Optical Society of America A , 1963 , 53 ( 2 ): 214 - 233 .
Chi N , Zhou Y , Liang S , et al . Enabling Technologies for High-speed Visible Light Communication Employing CAP Modulation [J ] . Journal of Lightwave Technology , 2018 , 36 ( 2 ): 510 - 518 .
Hameed F , Dobre O A , Popescu D C . On the Likelihood-based Approach to Modulation Classification [J ] . IEEE Transactions on Wireless Communications , 2009 , 8 ( 12 ): 5884 - 5892 .
Gers F A , Schmidhuber J , Cummins F . Learning to Forget: Continual Prediction with LSTM [J ] . Neural Computation , 2000 , 12 ( 10 ): 2451 - 2471 .
Chung J Y , Gülçehre Ç , Cho K , et al . Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling [DB/OL ] . ( 2014-11-11 ) [ 2024-01-29 ] . https://arxiv.org/pdf/1412.3555 https://arxiv.org/pdf/1412.3555 .
Yang S , Yu X , Zhou Y . LSTM and GRU Neural Network Performance Comparison Study: Taking Yelp Review Dataset as an Example [C ] // 2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI) . Shanghai, China : IEEE , 2020 : 9221727 .
张昊宇 , 姚力 , 陈超旭 , 等 . 基于BO-BiGRU的后均衡器在水下高速可见光通信系统中的应用 [J ] . 电信科学 , 2023 , 39 ( 5 ): 11 - 19 .
Zhang H Y , Yao L , Chen C X , et al . Application of BO-BiGRU based Post Equalizer in High-speed Underwater Visible Light Communication System [J ] . Telecommunications Science , 2023 , 39 ( 5 ): 11 - 19 .
林显浩 , 迟楠 . 水下可见光通信星座几何整形和人工智能技术 [J ] . 光通信研究 , 2023 ( 4 ): 21 - 27 .
Lin X H , Chi N . Constellation Geometrically-shaping and Artificial Intelligence Technology in Underwater Visible Light Communication [J ] . Study on Optical Communications , 2023 ( 4 ): 21 - 27 .
0
浏览量
77
下载量
0
CSCD
2
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：305124 今日访问量：152