Monostatic Sensing for Passive RIS Localization and Tracking

Reconfigurable intelligent surfaces (RIS) have emerged as a promising technology for 6G networks. In this letter, 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 a...

Full description

Saved in:
Bibliographic Details
Published in:IEEE wireless communications letters 2024-05, Vol.13 (5), p.1260-1264
Main Authors: Ye, Zi, Junaid, Faryal, Ibrahim, Emad, Nilsson, Rickard, Van De Beek, Jaap
Format: Article
Language:English
Subjects:
Algorithms
Delays
extended Kalman filter
Kalman filters
Localization
Location awareness
OFDM
passive localization
Reconfigurable intelligent surface
Reconfigurable intelligent surfaces
Robot sensing systems
Signal Processing
Signalbehandling
Tracking
Transceivers
Transmission line matrix methods
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Reconfigurable intelligent surfaces (RIS) have emerged as a promising technology for 6G networks. In this letter, 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.
ISSN:2162-2337
2162-2345
2162-2345
DOI:10.1109/LWC.2024.3367528