Τίτλος:
Near-field Localization with a Reconfigurable Intelligent Surface Acting
as Lens
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
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.
Συγγραφείς:
Abu-Shaban, Zohair
Keykhosravi, Kamran
Keskin, Musa Furkan and
Alexandropoulos, George C.
Seco-Granados, Gonzalo
Wymeersch,
Henk
Εκδότης:
IEEE Comput. Soc
Τίτλος συνεδρίου:
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021)
DOI:
10.1109/ICC42927.2021.9500663
