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Proximity Report Triggering Threshold Optimization for Network-Based Indoor Positioning
Ericsson Research, Linköping, Sweden.
Ericsson Research, Linköping, Sweden.
Ericsson Research, Linköping, Sweden.
2015 (English)Conference paper (Refereed)
Abstract [en]

Driven by the promising beaconing techniques, this paper presents a general received-signal-strength (RSS) threshold optimization procedure for proximity reports to support networkbased indoor positioning. The desired RSS threshold is found through optimizing a metric function (for instance the localization root-mean-square-error) in terms of both the deployment information and the RSS modeling in consideration of an evaluation area. The resulting RSS threshold provides a trade-off between triggering many but less informative proximity reports with a low threshold, and triggering few but very informative proximity reports with a high threshold, and thus enables enhanced performance for some low-cost and low-complex proximity based positioning algorithms. The proposed framework is also validated with real RSS measurements collected in an office area with deployed bluetooth low-energy (BLE) beacons.

Place, publisher, year, edition, pages
2015. 1061-1069 p.
National Category
Signal Processing
URN: urn:nbn:se:liu:diva-129759OAI: diva2:943177
18th International Conference on Information Fusion
Available from: 2016-06-27 Created: 2016-06-27 Last updated: 2016-07-06Bibliographically approved

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Zhao, YuxinGunnarsson, Fredrik
Signal Processing

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