RIS-Enabled Localization Continuity Under Near-Field Conditions
Paper i proceeding, 2021

Reconfigurable intelligent surfaces (RISs) have the potential to enable user localization in scenarios where traditional approaches fail. Building on prior work in single-antenna RIS-enabled localization, we investigate the potential to exploit wavefront curvature in geometric near-field conditions. Via a Fisher information analysis, we demonstrate that while near-field improves localization accuracy mostly at short distances when the line-of-sight (LoS) path is present, it could still provide reasonable performance when this path is blocked by relying on a single RIS reflection. After deriving and illustrating the corresponding position error bounds as a function of key operating parameters, we discuss practical system approaches that could enable better LoS-to-NLoS positioning continuity in harsh environments.

Författare

Moustafa Rahal

Université Grenoble Alpes

Benoit Denis

Kamran Keykhosravi

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk, Kommunikationssystem

Bernard Uguen

Henk Wymeersch

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk, Kommunikationssystem

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC


978-1-6654-2851-4 (ISBN)

2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Lucca, Italy,

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

Ämneskategorier

Kommunikationssystem

Robotteknik och automation

Signalbehandling

DOI

10.1109/SPAWC51858.2021.9593200

Mer information

Senast uppdaterat

2021-12-26