AoA-Based Positioning for Aerial Intelligent Reflecting Surface-Aided Wireless Communications: An Angle-Domain Approach

被引：31

作者：

Zhou, Tao ^{[1
]}

Xu, Kui ^{[1
]}

Shen, Zhexian ^{[1
]}

Xie, Wei ^{[1
]}

Zhang, Dongmei ^{[1
]}

Xu, Jianhui ^{[1
]}

机构：

[1] Army Engn Univ PLA, Coll Commun Engn, Nanjing 210007, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2022年 / 11卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Atmospheric modeling; Wireless communication; Discrete Fourier transforms; Global Positioning System; Channel estimation; Mathematical models; Indexes; Aerial intelligent reflecting surface; user positioning; angle-domain signal processing; CHANNEL ESTIMATION; BEAMFORMING DESIGN;

D O I：

10.1109/LWC.2022.3143099

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As a core technology for next-generation wireless communication, intelligent reflecting surfaces (IRSs) provide a new solution to the problems of ever-increasing cost and energy consumption in wireless communication. This letter studies a new application scenario for IRSs-using IRSs for user positioning. Multiple aerial intelligent reflecting surfaces (AIRSs) are deployed in the air to locate users in a certain area. First, we propose an angle-domain approach to obtain the angle of arrival (AoA) information of the direct path between each user and AIRS. Then, we use the AoA positioning strategy at the access point (AP) to locate users. Experimental results show that the proposed positioning strategy has good positioning performance.

引用

页码：761 / 765

页数：5

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