数字海洋与水下攻防2026，Vol.9Issue(3)：305-313,9.DOI:10.19838/j.issn.2096-5753.2026.03.009
基于水声信道稀疏结构的最大相关熵快速盲均衡算法
Fast Blind Equalization Algorithms for Sparse Underwater Acoustic Channel Structures Under Maximum Correntropy Criterion
丁子擎 1万方 2何长树 2安良 1范青1
作者信息
- 1. 东南大学水声信号处理教育部重点实验室,江苏 南京 210096
- 2. 中国船舶集团有限公司第七〇五研究所,云南 昆明 650033
- 折叠
摘要
Abstract
To address the slow convergence and insufficient robustness of blind equalization in underwater acoustic burst communication links,where sparse multipath and impulsive noise coexist,a fast blind equalization method based on the sparse structure of underwater acoustic channels and the maximum correntropy criterion is proposed.The proposed method introduces themaximum correntropy criterion into the constant-modulus cost to suppress the disturbance of large-error samples caused by impulsive noise on gradient updating.A majorization-minimization strategy is then employed to construct a local fast update direction,thereby alleviating the slow convergence of conventional stochastic-gradient methods constrained by small step sizes.Furthermore,by exploiting the sparse structure of underwater acoustic channels,a proportionate normalization mechanism is introduced to enhance the update of dominant taps while suppressing unnecessary perturbations on non-dominant taps,thus achieving fast and stable convergence of the equalizer coefficients.Simulation results show that,under ocean ambient noise and impulsive noise,the proposed method achieves lower symbol error rate and faster convergence than typical blind equalization algorithms such as CMA,MCMA,and MSEI under sparse channel conditions.关键词
盲均衡/稀疏自适应滤波/最大相关熵Key words
blind equalization/sparse adaptive filtering/maximum correntropy criterion分类
信息技术与安全科学引用本文复制引用
丁子擎,万方,何长树,安良,范青..基于水声信道稀疏结构的最大相关熵快速盲均衡算法[J].数字海洋与水下攻防,2026,9(3):305-313,9.
