数字海洋与水下攻防2025，Vol.8Issue(5)：547-558,12.DOI:10.19838/j.issn.2096-5753.2025.05.004
联合特征提取水声通信信号调制识别方法
A Joint Feature Extraction Method for Modulation Recognition in Underwater Acoustic Communication Signals
摘要
Abstract
To enhance the modulation recognition accuracy of non-cooperative digital communication signals in complex underwater acoustic channels,this study focuses on the modulation recognition of typical signals commonly encountered in underwater acoustic communication,including MPSK(M=2,4,8),2FSK,4FSK,and OOK.A joint feature extraction method is proposed,which combines continuous wavelet transform with frequency domain analysis to extract multiple time-frequency domain features.Addressing the challenge of intra-class recognition for MPSK in underwater acoustic communication,an innovative likelihood-based intra-class recognition method utilizing K-means clustering is introduced,effectively overcoming the recognition obstacles caused by unknown constellation diagrams in underwater environments.The experimental results demonstrate that under typical underwater acoustic channel conditions,the overall recognition rate of MPSK,2FSK,4FSK,and OOK signals reaches 93.2%when the signal-to-noise ratio exceeds-5 dB.Furthermore,the intra-class recognition rate of MPSK signals achieves 96.5%when the signal-to-noise ratio surpasses 5 dB.The proposed recognition framework is optimized for the characteristics of underwater acoustic communication environments,exhibiting excellent robustness and recognition performance under low SNR conditions,thereby providing an effective solution for modulation recognition in complex non-cooperative underwater acoustic communication scenarios.关键词
调制识别/特征提取/星座图/最大似然/水声通信Key words
modulation identification/feature extraction/constellation diagrams/maximum likelihood/underwater acoustic communication分类
信息技术与安全科学引用本文复制引用
YIN Gaoxiang,FANG Tao,WANG Biao,LIU Biao..联合特征提取水声通信信号调制识别方法[J].数字海洋与水下攻防,2025,8(5):547-558,12.基金项目
国家自然科学基金"多域智能水声抗干扰通信技术研究"(62571219) （62571219）
江苏省基础研究计划自然科学基金——青年基金项目"多海洋环境要素影响下的非合作水声通信信号识别特征增强机理研究"(BK20241014). （BK20241014）
