arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2602.17705eess.SPcs.IRcs.ITcs.SYeess.SYmath.IT
收藏

基于波数域的全息MIMO信号处理:基础、方法与未来方向

Wavenumber-domain signal processing for holographic MIMO: Foundations, methods, and future directions

Tsinghua University(清华大学);Beijing National Research Center for Information Science and Technology (BNRist)(北京信息科学与技术国家研究中心)

Zijian Zhang, Linglong Dai

AI总结:

本文提出基于波数域的全息MIMO信号处理方法,用于解决亚波长天线间距下的信道建模问题,并探讨了未来研究方向。

摘要:

全息多输入多输出(H-MIMO)系统通过实现近似连续的孔径,代表了无线通信领域的一次范式转变。与传统MIMO系统不同,具有亚波长天线间距的H-MIMO系统在远场和近场区域运行,其中经典的离散傅里叶变换(DFT)表示无法充分捕捉信道特性。为解决这一挑战,本文概述了新兴的波数域信号处理框架。具体而言,通过利用空间傅里叶平面波分解来建模H-MIMO信道,波数域提供了一个统一且物理一致的基础,用于表征亚波长级别的空间相关性和球面波传播。本文首先介绍了H-MIMO的概念以及H-MIMO信道的波数表示。接下来,详细阐述了文献中报告的波数域信号处理技术,包括复用、信道估计和波形设计。最后,突显了开放挑战并概述了波数域信号处理在下一代无线系统中的未来研究方向。

英文摘要:

Holographic multiple-input multiple-output (H-MIMO) systems represent a paradigm shift in wireless communications by enabling quasi-continuous apertures. Unlike conventional MIMO systems, H-MIMO with subwavelength antenna spacing operates in both far-field and near-field regimes, where classical discrete Fourier transform (DFT) representations fail to sufficiently capture the channel characteristics. To address this challenge, this article provides an overview of the emerging wavenumber-domain signal processing framework. Specifically, by leveraging spatial Fourier plane-wave decomposition to model H-MIMO channels, the wavenumber domain offers a unified and physically consistent basis for characterizing subwavelength-level spatial correlation and spherical wave propagation. This article first introduces the concept of H-MIMO and the wavenumber representation of H-MIMO channels. Next, it elaborates on wavenumber-domain signal processing technologies reported in the literature, including multiplexing, channel estimation, and waveform designs. Finally, it highlights open challenges and outlines future research directions in wavenumber-domain signal processing for next-generation wireless systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑