RIS-Enabled Localization Continuity Under Near-Field Conditions
Paper in 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.

Author

Moustafa Rahal

Grenoble Alpes University

Benoit Denis

Grenoble Alpes University

Kamran Keykhosravi

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks, Communication Systems

Bernard Uguen

University of Rennes 1

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks, Communication Systems

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

436-440
978-1-6654-2851-4 (ISBN)

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

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

Subject Categories

Communication Systems

Robotics

Signal Processing

DOI

10.1109/SPAWC51858.2021.9593200

ISBN

9781665428514

More information

Latest update

2/1/2022 1