RIS-Enabled Self-Localization with FMCW Radar
Journal article, 2025
In the upcoming vehicular networks, reconfigurable intelligent surfaces (RISs) are considered as a key enabler of user self-localization without the intervention of the access points (APs). In this paper, we investigate the feasibility of RIS-enabled self-localization with no APs. We first develop a digital signal processing (DSP) unit for estimating the geometric parameters such as the angle, distance, and velocity and for RIS-enabled selflocalization. Second, we set up an experimental testbed consisting of a Texas Instrument frequency modulated continuous wave (FMCW) radar for the user, and a Sivers transceiver module that emulates RIS-like directional reflections via analog beam steering and signal loopback. While the Sivers module is not a passive RIS, it enables a controlled emulation of RIS behavior suitable for experimental evaluation. Our results confirm the validity of the developed DSP unit and demonstrate the feasibility of RISenabled self-localization using analog RIS emulation.
frequency modulated continuous wave radar
localization
Channel parameters estimation
reconfigurable intelligent surface
Author
Hyowon Kim
Chungnam National University
Navid Amani
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Musa Furkan Keskin
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Zhongxia Simon He
Stiftelsen Chalmers Industriteknik
Beijing Institute of Technology
Jorge Gil
Chalmers, Architecture and Civil Engineering, Urban Design and Planning
Gonzalo Seco Granados
Universitat Autonoma de Barcelona (UAB)
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Chalmers Area of Advance Transport
IEEE Transactions on Vehicular Technology
0018-9545 (ISSN) 1939-9359 (eISSN)
Vol. 74 11 18255-18260Localization and Sensing for Perceptive Cell-Free Networks Towards 6G
Swedish Research Council (VR) (2024-04390), 2025-01-01 -- 2028-12-31.
Hardware-aware Integrated Localization and Sensing for Communication Systems
Swedish Research Council (VR) (2022-03007), 2023-01-01 -- 2026-12-31.
Subject Categories (SSIF 2025)
Communication Systems
Telecommunications
Signal Processing
DOI
10.1109/TVT.2025.3580602