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Using the fingerprinting method to customize RTLS based on the AoA ranging technique
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2016 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 16, no 6, 876Article in journal (Refereed) PublishedText
Abstract [en]

Real-time Locating Systems (RTLSs) have the ability to precisely locate the position of things and people in real time. They are needed for security and emergency applications, but also for healthcare and home care appliances. The research aims for developing an analytical method to customize RTLSs, in order to improve localization performance in terms of precision. The proposed method is based on Angle of Arrival (AoA), a ranging technique and fingerprinting method along with an analytically defined uncertainty of AoA, and a localization uncertainty map. The presented solution includes three main concerns: geometry of indoor space, RTLS arrangement, and a statistical approach to localization precision of a pair of location sensors using an AoA signal. An evaluation of the implementation of the customized RTLS validates the analytical model of the fingerprinting map. The results of simulations and physical experiments verify the proposed method. The research confirms that the analytically established fingerprint map is the valid representation of RTLS’ performance in terms of precision. Furthermore, the research demonstrates an impact of workspace geometry and workspace layout onto the RTLS’ performance. Moreover, the studies show how the size and shape of a workspace and the placement of the calibration point affect the fingerprint map. Withal, the performance investigation defines the most effective arrangement of location sensors and its influence on localization precision. © 2016 by the authors; licensee MDPI, Basel, Switzerland.

Place, publisher, year, edition, pages
MDPI AG , 2016. Vol. 16, no 6, 876
Keyword [en]
Calibration; Direction of arrival; Location, Accuracy and precision; Angle of arrival; Calibration points; Fingerprinting methods; Indoor localization systems; Real-Time Locating Systems, Real time systems
National Category
Signal Processing
URN: urn:nbn:se:bth-12778DOI: 10.3390/s16060876ScopusID: 2-s2.0-84974803245OAI: diva2:944867
Available from: 2016-06-30 Created: 2016-06-30 Last updated: 2016-07-08Bibliographically approved

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Kulesza, Wlodek
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