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Near-field Localization with a Reconfigurable Intelligent Surface Acting as Lens - MaRDI portal

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Near-field Localization with a Reconfigurable Intelligent Surface Acting as Lens

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Publication:6351063

arXiv2010.05617MaRDI QIDQ6351063

Author name not available (Why is that?)

Publication date: 12 October 2020

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.




Has companion code repository: https://github.com/henkwymeersch/RISLensLocalization








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