A new method for improving Wi-Fi based indoor positioning accuracy

Bai, Y, Wu, S, Retscher, G, Kealy, A, Holden, L, Tomko, M, Borrirak, A, Hu, B, Wu, H and Zhang, K 2014, 'A new method for improving Wi-Fi based indoor positioning accuracy', Journal of Location Based Services, vol. 8, no. 3, pp. 135-147.

Document type: Journal Article
Collection: Journal Articles

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Title A new method for improving Wi-Fi based indoor positioning accuracy
Author(s) Bai, Y
Wu, S
Retscher, G
Kealy, A
Holden, L
Tomko, M
Borrirak, A
Hu, B
Wu, H
Zhang, K
Year 2014
Journal name Journal of Location Based Services
Volume number 8
Issue number 3
Start page 135
End page 147
Total pages 13
Publisher Taylor and Francis
Abstract Wi-Fi and smartphone based positioning technologies are play-ing a more and more important role in Location Based Service (LBS) indus-tries due to the rapid development of the smartphone market. However, the low positioning accuracy of these technologies is still an issue for indoor positioning. To address this problem, a new method for improving the in-door positioning accuracy was developed. The new method initially used the Nearest Neighbor (NN) algorithm of the fingerprinting method to iden-tify the initial position estimate of the smartphone user. Then two distance correction values in two roughly perpendicular directions were calculated by the pass loss model based on the two signal strength indicator (RSSI) values observed. The errors from the path loss model were eliminated through differencing two model-derived distances from the same access point. The new method was tested and the results were compared and as-sessed against that of the commercial Ekahau RTLS system and the NN algorithm. The preliminary results showed that the positioning accuracy has been improved consistently after the new method was applied and the root mean square accuracy was improved to 3.4 m from 3.8 m of the NN algorithm.
Subject Approximation Theory and Asymptotic Methods
Keyword(s) Indoor positioning
Fingerprinting Corresponding author
DOI - identifier 10.1080/17489725.2014.977362
Copyright notice © 2014 Taylor & Francis
ISSN 1748-9725
Additional Notes LP120200413
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Citation counts: Scopus Citation Count Cited 8 times in Scopus Article | Citations
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