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Monostatic Sensing for Passive RIS Localization and Tracking
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-2995-6271
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9170-3240
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0413-4826
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2024 (English)In: IEEE Wireless Communications Letters, ISSN 2162-2337, E-ISSN 2162-2345, Vol. 13, no 5, p. 1260-1264Article in journal (Refereed) Published
Abstract [en]

Reconfigurable intelligent surfaces (RIS) have emerged as a promising technology for 6G networks. In this study, we explore a novel use case for RIS: passive localization and tracking of a RIS-equipped object using monostatic sensing, where the fixed transmitter and receiver share the same single antenna, using OFDM signals. We develop a low-complexity algorithm that achieves centimeter-level accuracy using only 6 MHz bandwidth, and by applying temporal coding to random RIS phase profiles, separating signals from undesired multipath sources. In addition, we evaluate the impact of model uncertainty on the performance of the algorithm.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2024. Vol. 13, no 5, p. 1260-1264
Keywords [en]
Delays, extended Kalman filter, Kalman filters, Location awareness, OFDM, passive localization, Reconfigurable intelligent surface, Robot sensing systems, tracking, Transceivers, Transmission line matrix methods
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-104552DOI: 10.1109/LWC.2024.3367528ISI: 001221294500042Scopus ID: 2-s2.0-85186089263OAI: oai:DiVA.org:ltu-104552DiVA, id: diva2:1843804
Note

Validerad;2024;Nivå 2;2024-05-21 (joosat);

Funder: European SNS-JU Project Hexa-X-II (Grant 101095759); European Interreg Aurora Project Arctic-6G;

Full text: CC BY License;

Available from: 2024-03-12 Created: 2024-03-12 Last updated: 2024-11-20Bibliographically approved

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Ye, ZiJunaid, FaryalIbrahim, EmadNilsson, Rickardvan de Beek, Jaap

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