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Cellular Positioning Using Fingerprinting Based on Observed Time Differences
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Mobile Telecommunications)ORCID iD: 0000-0002-5961-5136
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Mobile Telecommunications)
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Mobile Telecommunications)ORCID iD: 0000-0002-0019-8411
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Mobile Telecommunications)
2013 (English)In: IEEE 4th International Conference on Smart Communications in Network Technologies (SaCoNet), IEEE conference proceedings, 2013, 1-5 p.Conference paper, Published paper (Refereed)
Abstract [en]

Cellular positioning has been a very active research area for the last decade. Large improvement in accuracy has been made to support, for example, e-call and other location-based services. Traditionally, cellular positioning has been limited to cellular operators equipped with expensive synchronization hardware in order to achieve good accuracy. Lately, third parties have employed fingerprinting methods to enable positioning systems independent from the cellular operators. With improved available processing power, denser cellular networks, cheaper data collection and efficient pattern matching algorithms, the fingerprinting positioning methods have also gained popularity. In this paper, we analyzed the potential of using System Frame Number (SFN) - SFN observed time differences, which are traditionally used in Time Difference of Arrival (TDOA) positioning, for fingerprinting-based positioning. A field test was performed using measurements from TEMS (Telecommunication Management System) Investigation. By combining SFN-SFN observed time differences with Received Signal Code Power (RSCP) measurements, we demonstrated an improved accuracy of the fingerprinting method by 20% compared to only using RSCP measurements. The results are promising and show good potential in using SFN-SFN observed time differences for positioning based on fingerprinting.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 1-5 p.
Keyword [en]
Cellular Positioning;Fingerprinting; Observed Time Differences; Received Signal Strength; RSS;RSCP;System Frame Number;SFN;
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-95585DOI: 10.1109/SaCoNeT.2013.6654572ISBN: 978-147990694-9 (print)OAI: oai:DiVA.org:liu-95585DiVA: diva2:636342
Conference
IEEE 4th International Conference on Smart Communications in Network Technologies (SaCoNet)
Available from: 2013-07-09 Created: 2013-07-09 Last updated: 2016-05-04Bibliographically approved

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Gundlegård, DavidFowler, Scott

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