5G Positioning Based on the Wideband Electromagnetic Vector Antenna

Bo Sun, Bo Tan, Wenbo Wang, Mikko Valkama, Christophe Morlaas, Elena-Simona Lohan

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

13 Lataukset (Pure)


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.

OtsikkoWiP Proceedings of the International Conference on Localization and GNSS (ICL-GNSS 2021)
AlaotsikkoTampere, Finland, June 1-3, 2021
ToimittajatAleksandr Ometov, Jari Nurmi, Elena Simona Lohan, Joaquín Torres-Sospedra, Heidi Kuusniemi
TilaJulkaistu - 2021
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Localization and GNSS - Tampere, Suomi
Kesto: 1 kesäk. 20213 kesäk. 2021


NimiCEUR Workshop Proceedings
ISSN (elektroninen)1613-0073


ConferenceInternational Conference on Localization and GNSS


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