IRS-Aided Received Signal Strength Localization Using a Wireless Sensor Network

被引：2

作者：

Motie, Samaneh ^{[1
]}

Zayyani, Hadi ^{[1
]}

Korki, Mehdi ^{[2
]}

机构：

[1] Qom Univ Technol QUT, Dept Elect & Comp Engn, Qom 3718146645, Iran

[2] Swinburne Univ Technol, Sch Sci Comp & Engn Technol, Melbourne, Vic 3122, Australia

来源：

IEEE COMMUNICATIONS LETTERS | 2024年 / 28卷 / 05期

关键词：

Localization; received signal strength; intelligent reflecting surface; wireless sensor network; source;

D O I：

10.1109/LCOMM.2024.3374128

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this letter, we initially present a formulation of Received Signal Strengths (RSS) in a scenario involving one source (or emitter), one Intelligent Reflecting Surface (IRS), and a Wireless Sensor Network (WSN). To determine the source location based on RSS measurements, we carefully select IRS phases to simplify the relationship between them. Subsequently, we solve the resulting rather simple nonlinear equations using a Least Squares (LS) approach. The solution involves an initial estimation through a course search, followed by a Steepest-Descent (SD) recursion. Simulation results highlight the superior performance of SD compared to course search and some state-of-the-art RSS localization techniques in the literature.

引用

页码：1039 / 1042

页数：4

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