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冰下单载波水声通信试验研究
引用本文:田亚男,张爱国,李林,朱广军,李文君,要津.冰下单载波水声通信试验研究[J].声学技术,2022,41(5):648-653.
作者姓名:田亚男  张爱国  李林  朱广军  李文君  要津
作者单位:哈尔滨工程大学水声技术重点实验室, 黑龙江哈尔滨 150001;海洋信息获取与安全工信部重点实验室(哈尔滨工程大学), 工业和信息化部, 黑龙江哈尔滨 150001;哈尔滨工程大学水声工程学院, 黑龙江哈尔滨 150001;哈尔滨工程大学青岛船舶科技有限公司, 山东青岛 266400
基金项目:青岛创业创新领军人才计划项目(18-1-2-16-zhc)。
摘    要:北极地区战略地位的提高促进了极区各种应用的快速发展,冰下水声通信成为其中一个热点问题。为了研究冰下单载波水声通信性能,在黄海冰区开展冰下试验。重点分析了内嵌锁相环的多通道判决反馈均衡(Multi-channelDecision Feedback Equalization, M-DFE)技术在冰下水声通信中抗多途时延的能力,研究比较了改进比例归一化最小均方(Improved Proportional normalized Least Mean Square, IPNLMS)算法和递归最小二乘(Recursive Least Squares,RLS)算法的均衡性能。试验结果表明IPNLMS和RLS都能克服信道多途效应带来的影响。在牺牲计算复杂度的前提下,RLS具有更好的均衡效果,M-DFE在冰下环境中能够有效消除码间干扰。

关 键 词:冰下水声通信  多通道判决反馈均衡(M-DFE)  码间干扰
收稿时间:2021/3/5 0:00:00
修稿时间:2021/4/14 0:00:00

Experimental research on single-carrier under-ice acoustic communication
TIAN Yanan,ZHANG Aiguo,LI Lin,ZHU Guangjun,LI Wenjun,YAO Jin.Experimental research on single-carrier under-ice acoustic communication[J].Technical Acoustics,2022,41(5):648-653.
Authors:TIAN Yanan  ZHANG Aiguo  LI Lin  ZHU Guangjun  LI Wenjun  YAO Jin
Affiliation:Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, Heilongjiang, China;Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, Heilongjiang, China;College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang, China;Harbin Engineering University Qingdao Ship Science and Technology Corporation, Qingdao 266400, Shandong, China
Abstract:The improvement of the strategic position of the Arctic region has promoted the rapid development of various applications in the polar region, and the under-ice acoustic communication becomes one of the hot issues. In order to study the performance of single-carrier acoustic communication under ice, an under-ice test was conducted in the Yellow Sea ice area. The multi-channel decision feedback equalization (M-DFE) technique with embedded phaselocked loop is mainly concerned with the ability to resist multipath delays in under-ice acoustic communication, and the equalization performances of the improved proportional normalized least mean square (IPNLMS) algorithm and the recursive least squares (RLS) algorithm are studied and compared. The experimental results show that both IPNLMS and RLS algorithms can overcome the impact of channel multipath effects. RLS algorithm has a better equalization effect at the expense of computational complexity, and M-DFE technique can effectively eliminate intersymbol interference in the under-ice environment.
Keywords:under-ice acoustic communication  multi-channel decision feedback equalization (M-DFE)  inter-symbol interference
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