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.

Channel parameters estimation

localization

reconfigurable intelligent surface

frequency modulated continuous wave radar

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

IEEE Transactions on Vehicular Technology

0018-9545 (ISSN) 1939-9359 (eISSN)

Vol. In Press

Subject Categories (SSIF 2025)

Communication Systems

Telecommunications

Signal Processing

DOI

10.1109/TVT.2025.3580602

More information

Latest update

8/14/2025