RIS-Aided Localization under Position and Orientation Offsets in the Near and Far Field
Don-Roberts Emenonye, Harpreet S. Dhillon, R. Michael Buehrer

TL;DR
This paper provides a Bayesian analysis of RIS-assisted localization considering position and orientation offsets in near and far fields, highlighting the impact of phase offsets and antenna configurations on localization accuracy.
Contribution
It introduces a comprehensive Bayesian framework for analyzing RIS-assisted localization under offsets and phase uncertainties in both near and far field regimes.
Findings
RIS orientation offset affects pathloss when element spacing is half wavelength
Unknown phase offset hinders RIS orientation estimation in far-field
Near-field observations enable RIS orientation estimation with multiple receive antennas
Abstract
This paper presents a rigorous Bayesian analysis of the information in the signal (consisting of both the line-of-sight (LOS) path and reflections from multiple reconfigurable intelligent surfaces (RISs)) that originate from a single base station (BS) and is received by a user equipment (UE). For a comprehensive Bayesian analysis, both near and far field regimes are considered. The Bayesian analysis views both the location of the RISs and previous information about the UE as {\em a priori} information for UE localization. With outdated {\em a priori} information, the position and orientation offsets of the RISs become parameters that need to be estimated and fed back to the BS for correction. We first show that when the RIS elements have a half wavelength spacing, this RIS orientation offset is a factor in the pathloss of the RIS paths. Subsequently, we show through the Bayesian…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Advanced Wireless Communication Technologies · Underwater Vehicles and Communication Systems
