TY - GEN
T1 - 5G Positioning Based on the Wideband Electromagnetic Vector Antenna
AU - Sun, Bo
AU - Tan, Bo
AU - Wang, Wenbo
AU - Valkama, Mikko
AU - Morlaas, Christophe
AU - Lohan, Elena-Simona
N1 - JUFOID=53269
Funding Information:
This research was partly funded by the SESAR Joint Undertaking (SJU) in project NewSense (Evaluation of 5G Network and mmWave Radar Sensors to Enhance Surveillance of the Airport Surface), Grant Number 893917, within the framework of the European Union’s Horizon 2020 research and innovation program. The opinions expressed herein re?ect the authors’ view only. Under no circumstances shall the SJU be responsible for any use that may be made of the information contained herein. This work was also partly supported by the Academy of Finland, under the project ULTRA (328226, 328214).
Publisher Copyright:
© 2020 CEUR-WS. All rights reserved.
PY - 2021
Y1 - 2021
N2 - This work proposed a single base station positioning design in 5G networks, which can jointly estimate user equipment (UE) distance (time of arrival, ToA) and direction (angle of arrival, AoA) by utilizing the wideband 5G signal and vector antenna (VA). A statistics-based Expectation-maximization (EM) algorithm and a subspace-spaced algorithm are adopted to estimate the UE position in this work. The simulation results show that the proposed method can accurately estimate UE position by using the uplink sounding reference signals (SRS) in a Line-of-Sight (LoS) scenario where the tapped delay line D (TDL-D) channel model is used to construct delay and attenuation profiles for multiple paths. Also, the impact of the strong reflections on angle estimation and polarization accuracy is studied in the subspace algorithm. This work proves that the VA is able to provide high accuracy 3D UE positioning in 5G networks without the requirement of multiple cells or multiple antennas. However, the performance of the VA antenna is limited by the coarse angle resolution, which needs to be resolved by VA composed antenna array in future works.
AB - This work proposed a single base station positioning design in 5G networks, which can jointly estimate user equipment (UE) distance (time of arrival, ToA) and direction (angle of arrival, AoA) by utilizing the wideband 5G signal and vector antenna (VA). A statistics-based Expectation-maximization (EM) algorithm and a subspace-spaced algorithm are adopted to estimate the UE position in this work. The simulation results show that the proposed method can accurately estimate UE position by using the uplink sounding reference signals (SRS) in a Line-of-Sight (LoS) scenario where the tapped delay line D (TDL-D) channel model is used to construct delay and attenuation profiles for multiple paths. Also, the impact of the strong reflections on angle estimation and polarization accuracy is studied in the subspace algorithm. This work proves that the VA is able to provide high accuracy 3D UE positioning in 5G networks without the requirement of multiple cells or multiple antennas. However, the performance of the VA antenna is limited by the coarse angle resolution, which needs to be resolved by VA composed antenna array in future works.
M3 - Conference contribution
AN - SCOPUS:85108022069
T3 - CEUR Workshop Proceedings
BT - WiP Proceedings of the International Conference on Localization and GNSS (ICL-GNSS 2021)
A2 - Ometov, Aleksandr
A2 - Nurmi, Jari
A2 - Lohan, Elena Simona
A2 - Torres-Sospedra, Joaquín
A2 - Kuusniemi, Heidi
PB - CEUR-WS
T2 - International Conference on Localization and GNSS
Y2 - 1 June 2021 through 3 June 2021
ER -