Back to Search
Start Over
Near-field Localization with a Reconfigurable Intelligent Surface Acting as Lens
- Source :
- ICC, IEEE International Conference on Communications (15503607) vol.June 2021(2021)
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- Exploiting wavefront curvature enables localization with limited infrastructure and hardware complexity. With the introduction of reconfigurable intelligent surfaces (RISs), new opportunities arise, in particular when the RIS is functioning as a lens receiver. We investigate the localization of a transmitter using a RIS-based lens in close proximity to a single receive antenna element attached to reception radio frequency chain. We perform a Fisher information analysis, evaluate the impact of different lens configurations, and propose a two-stage localization algorithm. Our results indicate that positional beamforming can lead to better performance when a priori location information is available, while random beamforming is preferred when a priori information is lacking. Our simulation results for a moderate size lens operating at 28 GHz showcased that decimeter-level accuracy can be attained within 3 meters to the lens.
- Subjects :
- Signal Processing (eess.SP)
FOS: Computer and information sciences
Beamforming
Computer science
Computer Science - Information Theory
Near and far field
computer.software_genre
localization
law.invention
03 medical and health sciences
symbols.namesake
0302 clinical medicine
law
FOS: Electrical engineering, electronic engineering, information engineering
Electronic engineering
Electrical Engineering and Systems Science - Signal Processing
Fisher information
030304 developmental biology
0303 health sciences
Information Theory (cs.IT)
Communication Systems
Transmitter
Location awareness
Lens (optics)
Signal Processing
Telecommunications
symbols
A priori and a posteriori
reconfigurable intelligent surface
Radio frequency
computer
030217 neurology & neurosurgery
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- ICC 2021 - IEEE International Conference on Communications
- Accession number :
- edsair.doi.dedup.....43fc259cebb9f29a186d0c7569ad151e