Probabilistic Positioning via Ray Tracing With Noisy Angle of Arrival Measurements

We consider the positioning problem in non line-of-sight (NLoS) situations, where several base stations (BS) try to locate a user equipment (UE) based on uplink angle of arrival (AoA) measurements and a digital twin of the environment. Ray launching in a Monte Carlo manner according to the AoA stati...

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Veröffentlicht in:	IEEE communications letters 2024-10, Vol.28 (10), p.2278-2282
Hauptverfasser:	Corlay, Vincent, Nguyen, Viet-Hoa, Gresset, Nicolas
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Angle of arrival Bayesian Digital mapping Digital twins Fitting Line of sight Monte Carlo methods non line-of-sight Position measurement Positioning Probabilistic models Probability density function Probability density functions Ray tracing Simulation Statistical analysis Uplink
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