Wireless Localization With Space–Time-Coded Reconfigurable Intelligent Surfaces

In this paper, a novel approach for wireless localization is proposed and experimentally validated that leverages space-time coded reconfigurable intelligent surfaces (RIS). It is demonstrated that applying proper single-bit codes to each RIS element enables accurate determination of the direction of arrival (DOA) at the receiver. Moreover, we introduce different scenarios for which such technique can be used for localization. By incorporating RIS, a passive component, the method significantly reduces the complexity found in previous localization techniques. In addition, the use of 1-bit codes minimizes hardware requirements, offering a reliable and low-cost solution for localization in advanced telecommunications networks.

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Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2025-05-19
DOI
https://doi.org/10.1109/tap.2025.3569392
Citations
1
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.73

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article

Wireless Localization With Space–Time-Coded Reconfigurable Intelligent Surfaces

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Wireless Localization With Space–Time-Coded Reconfigurable Intelligent Surfaces

Soheil Khajavi, Aydin Sezgin, Mohammad Neshat, Simon Tewes, Mehdi Gholami
article en
1 citations

Abstract

In this paper, a novel approach for wireless localization is proposed and experimentally validated that leverages space-time coded reconfigurable intelligent surfaces (RIS). It is demonstrated that applying proper single-bit codes to each RIS element enables accurate determination of the direction of arrival (DOA) at the receiver. Moreover, we introduce different scenarios for which such technique can be used for localization. By incorporating RIS, a passive component, the method significantly reduces the complexity found in previous localization techniques. In addition, the use of 1-bit codes minimizes hardware requirements, offering a reliable and low-cost solution for localization in advanced telecommunications networks.

IEEE Transactions on Antennas and PropagationVol. 73(8)
University of Tehran (IR), Ruhr University Bochum (DE)
Deutsche Forschungsgemeinschaft
Affordable and clean energy
Openalex Percentile: Top 28%
Indoor and Outdoor Localization Technologies
0.73
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