Frugal RIS-aided 3D Localization with CFO under LoS and NLoS Conditions
Yasaman Ettefagh, Musa Furkan Keskin, Kamran Keykhosravi, Gonzalo Seco-Granados, and Henk Wymeersch

TL;DR
This paper presents a frugal RIS-assisted 3D localization and synchronization method for minimal-resource 6G scenarios, effective under LoS and NLoS conditions with CFO and multi-path interference.
Contribution
It introduces novel low-resource algorithms for RIS-aided 3D localization and CFO estimation, validated against theoretical bounds and tested under diverse practical conditions.
Findings
Algorithms achieve near-CRB accuracy in simulations
Effective under both LoS and NLoS conditions
Robust to CFO variations and multi-path interference
Abstract
In this paper, we investigate 3-D localization and frequency synchronization with multiple reconfigurable intelligent surfaces (RISs) in the presence of carrier frequency offset (CFO) for a stationary user equipment (UE). In line with the 6G goals of sustainability and efficiency, we focus on a frugal communication scenario with minimal spatial and spectral resources (i.e., narrowband single-input single-ouput system), considering both the presence and blockage of the line-of-sight (LoS) path between the base station (BS) and the UE. We design a generalized likelihood ratio test (GLRT)-based LoS detector, channel parameter estimation and localization algorithms, with varying complexity. To verify the efficiency of our estimators, we compare the root mean-squared error (RMSE) to the Cram\'er- Rao bound (CRB) of the unknown parameters. We also evaluate the sensitivity of our algorithms to…
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Taxonomy
TopicsRobotics and Sensor-Based Localization
MethodsBalanced Selection · Focus
