水下声波带内全双工通信的联合均衡与自干扰消除

IF 3.8 2区 工程技术 Q1 ENGINEERING, CIVIL
Mohammad Towliat;Zheng Guo;Leonard J. Cimini;Xiang-Gen Xia;Aijun Song
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引用次数: 0

摘要

水下声学信道中的带内全双工(IBFD)通信面临着强烈的时变自干扰(SI)的挑战。为了检测数据符号,接收器需要抑制 SI 并均衡信号,以补偿由远程传输(RT)信道引起的符号间干扰(ISI)。在本文中,我们开发了一种结合自适应决策反馈均衡器和符号间干扰消除(ADFE-SIC)的新型接收器,以共同消除 ISI 和符号间干扰。ADFE-SIC 中的滤波器采用递归最小二乘法自适应估计。通过模拟和实验测试,我们发现所提出的方法优于传统方法,在传统方法中,均衡和 SI 消除任务是分开执行的,滤波器的配置基于对 SI 和 RT 信道的事先估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Equalization and Self-Interference Cancellation for Underwater Acoustic In-Band Full-Duplex Communication
In-band full-duplex (IBFD) communication in underwater acoustic channels is challenged by strong and time-varying self-interference (SI). To detect data symbols, the receiver needs to suppress the SI and equalize the resultant signal to compensate for the intersymbol interference (ISI) caused by the remote transmission (RT) channel. In this article, we develop a new receiver that combines adaptive decision feedback equalizer and SI cancellation (ADFE-SIC) to jointly eliminate the ISI and SI. A recursive least squares algorithm adaptively estimates the filters in ADFE-SIC. By conducting simulations and experimental tests, we show that the proposed method outperforms the conventional approach in which equalization and SI cancellation tasks are performed separately and the filter configuration is based on prior estimations of the SI and the RT channels.
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来源期刊
IEEE Journal of Oceanic Engineering
IEEE Journal of Oceanic Engineering 工程技术-工程:大洋
CiteScore
9.60
自引率
12.20%
发文量
86
审稿时长
12 months
期刊介绍: The IEEE Journal of Oceanic Engineering (ISSN 0364-9059) is the online-only quarterly publication of the IEEE Oceanic Engineering Society (IEEE OES). The scope of the Journal is the field of interest of the IEEE OES, which encompasses all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
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