RIS-Enabled Self-Localization With FMCW Radar
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.
Authors
- Hyowon Kim (ORCID: https://orcid.org/0000-0002-0473-1471)
- Henk Wymeersch (ORCID: https://orcid.org/0000-0002-1298-6159)
- Musa Furkan Keskin (ORCID: https://orcid.org/0000-0002-7718-8377)
- Zhongxia Simon He (ORCID: https://orcid.org/0000-0003-0487-1527)
- Navid Amani (ORCID: https://orcid.org/0000-0002-8187-5380)
- Jorge Gil (ORCID: https://orcid.org/0000-0001-6671-2578)
- Gonzalo Seco‐Granados (ORCID: https://orcid.org/0000-0003-2494-6872)
Institutions
- Universitat Autònoma de Barcelona (ES)
- Beijing Institute of Technology (CN)
- Chungnam National University (KR)
- Chalmers University of Technology (SE)
Publication Details
- Journal
- IEEE Transactions on Vehicular Technology
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1109/tvt.2025.3580602
- Citations
- 1
- Primary Topic
- Target Tracking and Data Fusion in Sensor Networks
- Type
- article
- Field-Weighted Citation Impact
- 2.48