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Real-time Wireless Sensing and Positioning through Reconfigurable Intelligent Surfaces

Tang, Wankai; Meng, Shengguo; Zhou, Qun Yan; Xu, Yifan; Li, Hongyuan; Dai, Jun Yan; Yang, Jie; ... Cui, Tie Jun; + view all (2025) Real-time Wireless Sensing and Positioning through Reconfigurable Intelligent Surfaces. IEEE Transactions on Wireless Communications 10.1109/TWC.2025.3589272. (In press). Green open access

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Abstract

Reconfigurable intelligent surface (RIS) has emerged as a promising technology for wireless communication systems due to its ability to manipulate electromagnetic waves. With advantages such as low hardware complexity and low power consumption, RIS shows significant potential in positioning applications. This paper presents an RIS-based wireless signal sensing method that operates under the constraint of passive reflection while leveraging the space-time coding capabilities of RIS. By applying a space-time coding matrix on the RIS, the beamspace domain and the angle of arrival (AoA) of signals incident on the RIS can be efficiently estimated, requiring only the processing of single-channel received signals at the access point. Building upon this, a positioning prototype system utilizing two 27 GHz millimeter-wave RIS panels is developed and implemented, supporting real-time user positioning. Experimental results demonstrate that the prototype system achieves centimeter-level positioning accuracy, with errors below 10 cm in 97.22% of measurement cases, thereby validating the effectiveness of the proposed sensing and positioning scheme. These findings may pave the way for further exploration of RIS-based integration of sensing and communication technologies.

Type: Article
Title: Real-time Wireless Sensing and Positioning through Reconfigurable Intelligent Surfaces
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TWC.2025.3589272
Publisher version: https://doi.org/10.1109/twc.2025.3589272
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Reconfigurable intelligent surface, wireless sensing, user positioning, millimeter-wave, intelligent reflecting surface, metasurface
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10212708
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