Direct Tensor-Based Estimation of Broadband mmWave Channels With RIS

被引：4

作者：

Mo, Linlin ^{[1
]}

Saggese, Fabio ^{[2
]}

Lu, Xinhua ^{[3
]}

Wang, Zhongyong ^{[1
]}

Popovski, Petar ^{[2
]}

机构：

[1] Zhengzhou Univ, Sch Elect & Informat Engn, Zhengzhou 450001, Peoples R China

[2] Aalborg Univ, Dept Elect Syst, DK-9220 Aalborg, Denmark

[3] Nanyang Inst Technol, Coll Informat Engn, Nanyang 473000, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2023年 / 27卷 / 07期

基金：

欧盟地平线“2020”;

关键词：

Broadband millimeter-wave; channel estimation; reconfigurable intelligent surface; message passing;

D O I：

10.1109/LCOMM.2023.3270513

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

We address the channel estimation problem in millimeter-wave (mmWave) systems aided by reconfigurable intelligent surface (RIS) and propose a peak detection-message passing (PDMP) algorithm. The angle and delay parameters of the channel are estimated from the multi-dimensional structure of the received tensor by exploiting the properties of the array steering vector (ASV). The channel gain is further estimated by employing the message passing method. The numerical results illustrate the efficiency of the proposed estimation method, especially in the low signal-to-noise ratio (SNR) regime.

引用

页码：1849 / 1853

页数：5

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