光通信研究Issue(2)：26-32,7.DOI:10.13756/j.gtxyj.2025.240023
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
摘要
Abstract
[Objective]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 en-hanced security.However,it also faces challenges such as the complexity of underwater channel environments,signal power at-tenuation,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 al-gorithms,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]To ad-dress 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 accu-racy in underwater environments.[Results]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]The algorithm proposed in this study notably enhances the MFR per-formance in complex underwater environments for UVLC systems,holding significant application value and technological innova-tion.It lays the groundwork for the future development of high-speed underwater communication technologies.关键词
水下可见光通信/调制格式识别/双向门控循环单元/非线性失真/信号特征提取Key words
UVLC/MFR/BiGRU/nonlinear effects/signal feature extraction分类
电子信息工程引用本文复制引用
高文笛,汪昀楷,徐迟,徐增熠,迟楠..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):26-32,7.基金项目
国家重点研发计划资助项目(2022YFB2802803) （2022YFB2802803）
国家自然科学基金资助项目(61925104,62031011) （61925104,62031011）
