2020/10/12 by Zohair Abu‐Shaban, Abu-Shaban, Zohair, Kamran Keykhosravi +9 · 4 citations
Engineering · #Advanced Wireless Communication Technologies #FOS: Computer and information sciences #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Information Theory (cs.IT) #Signal Processing (eess.SP) #Underwater Vehicles and Communication Systems #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2010.05617
openalex publication_date 2020/10/12 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
Exploiting wavefront curvature enables localization with limited\ninfrastructure and hardware complexity. With the introduction of reconfigurable\nintelligent surfaces (RISs), new opportunities arise, in particular when the\nRIS is functioning as a lens receiver. We investigate the localization of a\ntransmitter using a RIS-based lens in close proximity to a single receive\nantenna element attached to reception radio frequency chain. We perform a\nFisher information analysis, evaluate the impact of different lens\nconfigurations, and propose a two-stage localization algorithm. Our results\nindicate that positional beamforming can lead to better performance when a\npriori location information is available, while random beamforming is preferred\nwhen a priori information is lacking. Our simulation results for a moderate\nsize lens operating at 28 GHz showcased that decimeter-level accuracy can be\nattained within 3 meters to the lens.\n