水声单载波通信中的块稀疏均衡器  

Block-wise sparse equalizer for underwater acoustic single-carrier communication

作　　者：佟文涛 葛威 殷敬伟[1,2,3] 韩笑 林雨佳[1,2,3] TONG Wentao;GE Wei;YIN Jingwei;HAN Xiao;LIN Yujia(National Key Laboratory of Underwater Acoustic Technology,Harbin Engineering University Harbin 150001;Key Laboratory for Polar Acoustics and Application of Ministry of Education(Harbin Engineering University),Ministry of Education Harbin 150001;College of Underwater Acoustic Engineering,Harbin Engineering University Harbin 150001;State Key Laboratory of Acoustics,Institute of Acoustics,Chinese Academy of Sciences Beijing 100190)

机构地区：[1]哈尔滨工程大学水声技术全国重点实验室,哈尔滨150001 [2]教育部极地海洋声学与技术应用教育部重点实验室(哈尔滨工程大学),哈尔滨150001 [3]哈尔滨工程大学水声工程学院,哈尔滨150001 [4]中国科学院声学研究所声场声信息国家重点实验室,北京100190

出　　处：《声学学报》2025年第2期511-524,共14页Acta Acustica

基　　金：国家重点研发计划项目(2021YFC2801204);国家杰出青年科学基金项目(62125104);国家自然科学基金项目(62371154,62127801);水声技术重点实验室稳定支持课题(JCKYS2022604SSJS001)资助。

摘　　要：水声通信中基于块处理的均衡器复杂度低但性能受限,为此提出了一种应用于水声单载波通信的块稀疏均衡器,进一步考虑了均衡器抽头的稀疏特性,在时不变假设下利用变分贝叶斯推断对稀疏均衡向量完成迭代估计。之后,为提高系统的稳健性,将模型推广至水声时变场景,推导了基于基扩展模型的块稀疏均衡器,将时变均衡矩阵的估计问题转化成时不变稀疏基系数向量的恢复问题,降低了求解难度。与经典的块均衡器相比,所提方法针对信道估计的逆问题,直接估计均衡系数向量,且进一步考虑了均衡器抽头的稀疏性。仿真与试验结果证明了该方法在稀疏信道下的有效性,以及在时变信道下的鲁棒性。In underwater acoustic communication,block-wise equalizers exhibit low complexity but limited performance.This paper presents a block-wise sparse equalizer(BSE)designed for underwater acoustic single-carrier communication.The method takes into account the sparse characteristics of equalizer taps,which distinguishes it from traditional counterparts.It achieves iterative estimation of sparse equalization vectors under the assumption of time-invariant channel through variational Bayesian inference.The model is then extended to the time-varying scenario,and a basis expansion model-based BSE is proposed.This transforms the estimation of the time-varying equalization matrix into the estimation of time-invariant sparse basis coefficient vectors,thereby improving the robustness of the system.Compared to classical block-wise equalizers,the proposed method tackles the inverse problem of channel estimation by directly estimating the equalization coefficient vectors.In addition,it takes into account the sparsity of the equalizer taps.Simulation and experimental results demonstrate the effectiveness of the method under sparse channels and its robustness under time-varying conditions.

关 键 词：水声通信 块稀疏均衡器 变分贝叶斯推断 基扩展模型 

分 类 号：TN929.3[电子电信—通信与信息系统] TN715[电子电信—信息与通信工程]