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Cluster-based RF fingerprint positioning using LTE and WLAN signal strengths

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Mondal, R., Ristaniemi, T., & Turkka, J. (2017). Cluster-based RF fingerprint positioning using LTE and WLAN signal strengths. International Journal of Wireless Information Networks, 24 (4), 413-423. doi:10.1007/s10776-017-0369-9
Published in
International Journal of Wireless Information Networks
Authors
Mondal, Riaz |
Ristaniemi, Tapani |
Turkka, Jussi
Date
2017
Discipline
Tietotekniikka
Copyright
© Springer Science+Business Media, LLC 2017. This is a final draft version of an article whose final and definitive form has been published by Springer. Published in this repository with the kind permission of the publisher.

 
Wireless Local Area Network (WLAN) positioning has become a popular localization system due to its low-cost installation and widespread availability of WLAN access points. Traditional grid-based radio frequency (RF) fingerprinting (GRFF) suffers from two drawbacks. First it requires costly and non-efficient data collection and updating procedure; secondly the method goes through time-consuming data pre-processing before it outputs user position. This paper proposes Cluster-based RF Fingerprinting (CRFF) to overcome these limitations by using modified Minimization of Drive Tests data which can be autonomously collected by cellular operators from their subscribers. The effect of environmental changes and device variation on positioning accuracy has been carried out. Experimental results show that even under these variations CRFF can improve positioning accuracy by 15.46 and 22.30% in 95 percentile of positioning error as compared to that of GRFF and K-nearest neighbour methods respectively. ...
Publisher
Springer New York LLC
ISSN Search the Publication Forum
1068-9605
Keywords
RF fingerprint positioning K-nearest neighbors K-means clustering hierarchical clustering fuzzy C-means clustering
DOI
https://doi.org/10.1007/s10776-017-0369-9
URI

http://urn.fi/URN:NBN:fi:jyu-201712114595

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  • Informaatioteknologian tiedekunta [1617]

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