IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Yinuo Hao, Liang Jin, Shuaifang Xiao
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引用次数: 0

摘要

本文研究了在无线通信中增强天线信道信息提取能力的方法,特别是在具有挑战性的多路径环境中。针对接收器多路径叠加和无线信道传播过程中的多路径衰落造成的信道信息丢失问题,本文利用元面天线快速重构天线模式,构建高维投影空间,从而提高信息感应分辨率。在此基础上,本文提出了一种信道匹配接收模式设计方法,以减轻多径衰落造成的通信性能损失。此外,本文还分析了各种元面参数对所提方案性能的综合影响,为工程实施提供了理论指导。仿真结果表明,所提方案的多径信道估计和接收性能接近使用单射频链路的多天线阵列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Fine-grained multi-path channel estimation and matched reception by single metasurface antenna

Fine-grained multi-path channel estimation and matched reception by single metasurface antenna

This paper investigates methods to enhance antenna's channel information extraction capabilities in wireless communications, particularly in challenging multi-path environments. Focusing on the issues of channel information loss due to multi-path superposition at the receiver and multi-path fading during wireless channel propagation, this paper utilizes metasurface antennas to rapidly reconfigure antenna patterns and construct high-dimensional projection spaces, thus improving information sensing resolution. Based on this, a channel-matched receiving pattern design method is proposed to mitigate the communication performance loss caused by multi-path fading. Furthermore, this paper analyses the comprehensive impact of various metasurface parameters on the performance of the proposed scheme, providing theoretical guidance for engineering implementation. Simulation results demonstrate that the proposed scheme can achieve the performance of multi-path channel estimation and reception close to those of multi-antenna arrays using a single radio frequency link.

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来源期刊
IET Communications
IET Communications 工程技术-工程:电子与电气
CiteScore
4.30
自引率
6.20%
发文量
220
审稿时长
5.9 months
期刊介绍: IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth. Topics include, but are not limited to: Coding and Communication Theory; Modulation and Signal Design; Wired, Wireless and Optical Communication; Communication System Special Issues. Current Call for Papers: Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf
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