We consider the following positioning problem where several base stations (BS) try to locate a user equipment (UE): The UE sends a positioning signal to several BS. Each BS performs Angle of Arrival (AoA) measurements on the received signal. These AoA measurements as well as a 3D model of the environment are then used to locate the UE. We propose a method to exploit not only the geometrical characteristics of the environment by a ray-tracing simulation, but also the statistical characteristics of the measurements to enhance the positioning accuracy.
@article{arxiv.2308.08441,
title = {Probabilistic Ray-Tracing Aided Positioning at mmWave frequencies},
author = {Viet-Hoa Nguyen and Vincent Corlay and Nicolas Gresset and Cristina Ciochina},
journal= {arXiv preprint arXiv:2308.08441},
year = {2023}
}
Comments
Accepted at the conference Indoor Positioning and Indoor Navigation (IPIN) 2023