水声系统中的优化均衡技术研究  

Research on Optimal Equalization Technology in Underwater Acoustic System

作　　者：李光志 闫志杰 LI Guangzhi;YAN Zhijie(CSSC 715th Research Institute,Hangzhou 310000,China)

机构地区：[1]中国船舶集团有限公司第七一五研究所,浙江杭州310000

出　　处：《电声技术》2023年第4期38-41,共4页Audio Engineering

摘　　要：综述水声系统中优化均衡技术的研究进展和性能优化方法。水声通信作为一种特殊的通信方式,在信号传输中面临诸多挑战,如多径干扰、噪声等。为了克服存在的问题,优化均衡技术被引入水声系统,以提高其通信可靠性和性能。首先,介绍多天线技术如多输入多输出(Multiple-Input Multiple-Output,MIMO)、波束赋形以及自适应滤波等方法在水声通信中的应用和优势。其次,提出评估指标和实验设计,如误码率和信噪比等,用于评估优化均衡技术的性能。再次,讨论算法改进和性能优化的方法,包括自适应参数调整、多通道信息融合和先验信息利用。最后,展望未来研究的方向,包括高容量传输、深度学习和人工智能。This paper reviews the research progress and performance optimization methods of optimal equalization technology in underwater acoustic systems.As a special communication mode,underwater acoustic communication faces many challenges in signal transmission,such as multipath interference and noise.To overcome these problems,optimal equalization techniques are introduced into underwater acoustic systems to improve communication reliability and performance.This paper first introduces the application and advantages of multi-antenna technologies such as Multiple-Input Multiple-Output(MIMO),beamforming and adaptive filtering in underwater acoustic communication.Then,the evaluation index and experimental design,such as bit error rate and signal-tonoise ratio,are proposed to evaluate the performance of optimal equalization technology.At the same time,the methods of algorithm improvement and performance optimization are discussed,including adaptive parameter adjustment,multi-channel information fusion and prior information utilization.Finally,the direction of future research is prospected,including high-capacity transmission,deep learning and artificial intelligence.

关 键 词：优化均衡技术 水声系统 多天线 自适应滤波 波束赋形 

分 类 号：TN929.3[电子电信—通信与信息系统]