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Indoor 5G Positioning using Multipath Measurements
Linköpings universitet, Institutionen för systemteknik, Kommunikationssystem. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet.
Ericsson AB, Linkoping, Sweden.
2023 (Engelska)Ingår i: 2023 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM, PLANS, IEEE , 2023, s. 1092-1098Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Positioning with high precision and reliability can be provided by 5G cellular networks in environments where satellite positioning is not available or reliable. The accuracy that can be achieved by classical methods like triangulation and trilateration however degrades significantly under non line of sight (NLOS) conditions. The problem can be mitigated with increasingly dense deployments of network transmission and reception points (TRPs), but that is both impractical and costly. As an alternative, this study investigates if multipath propagation of radio signals can be exploited to improve positioning accuracy and reduce the necessary deployment density. With 3GPP Rel. 17 new signaling support has been introduced to report the propagation delay, corresponding to the length, of multiple paths between the user equipment (UE) and a network TRP. The length of a multipath can, in combination with a partially known map of the environment, give additional information about the UE position. In this study we develop multipath-assisted tracking algorithms and evaluate their performances in realistic simulations using 3GPP standardized positioning reference signals and measurements in an indoor factory environment. Our evaluations show that multipath-assisted algorithms can achieve an accuracy below 0.9 m in 90% of the cases, which is more than tenfold better than a conventional LOS based algorithm. Moreover, one algorithm variant also shows an ability to track a UE using very few TRPs.

Ort, förlag, år, upplaga, sidor
IEEE , 2023. s. 1092-1098
Serie
IEEE-ION Position Location and Navigation Symposium, ISSN 2153-358X
Nyckelord [en]
5G networks; positioning; target tracking; multipath propagation; 3GPP Release 17
Nationell ämneskategori
Signalbehandling
Identifikatorer
URN: urn:nbn:se:liu:diva-196940DOI: 10.1109/PLANS53410.2023.10140035ISI: 001022344800126ISBN: 9781665417723 (digital)ISBN: 9781665417730 (tryckt)OAI: oai:DiVA.org:liu-196940DiVA, id: diva2:1792354
Konferens
IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterey, CA, apr 24-27, 2023
Tillgänglig från: 2023-08-29 Skapad: 2023-08-29 Senast uppdaterad: 2023-08-29

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Av författaren/redaktören
Andersson, MartinLidström, Andreas
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KommunikationssystemTekniska fakultetenLinköpings universitet
Signalbehandling

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