On the RBF-based positioning using WLAN signal strength fingerprints

C. Laoudias, C.G. Panayiotou, Paul Kemppi

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

8 Citations (Scopus)

Abstract

Provision of accurate and reliable location estimates is the key issue for the proliferation of indoor location oriented services and applications. Our positioning method is based on Radial Basis Function (RBF) networks and we exploit Received Signal Strength (RSS) measurements from several WLAN Access Points (AP). We incorporate the RSS covariance matrix into the estimation method and couple that with a methodology that indicates which APs can be ignored during positioning without sacrificing accuracy. We evaluate the RBF method in a real-life setup, and experimental results suggest that the proposed approach performs well. (14 refs.)
Original languageEnglish
Title of host publicationProceedings of the 7th Workshop on Positioning, Navigation and Communication, WPNC 2010
Place of PublicationPiscataway, NJ, USA
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages93-98
ISBN (Electronic)978-1-4244-7158-4
ISBN (Print)978-1-4244-7157-7
DOIs
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication
Event7th Workshop on Positioning, Navigation and Communication, WPNC 2010 - Dresden, Germany
Duration: 11 Mar 201012 Mar 2010

Conference

Conference7th Workshop on Positioning, Navigation and Communication, WPNC 2010
Abbreviated titleWPNC 2010
CountryGermany
CityDresden
Period11/03/1012/03/10

Fingerprint

Wireless local area networks (WLAN)
Radial basis function networks
Covariance matrix

Cite this

Laoudias, C., Panayiotou, C. G., & Kemppi, P. (2010). On the RBF-based positioning using WLAN signal strength fingerprints. In Proceedings of the 7th Workshop on Positioning, Navigation and Communication, WPNC 2010 (pp. 93-98). Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/WPNC.2010.5653403
Laoudias, C. ; Panayiotou, C.G. ; Kemppi, Paul. / On the RBF-based positioning using WLAN signal strength fingerprints. Proceedings of the 7th Workshop on Positioning, Navigation and Communication, WPNC 2010. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2010. pp. 93-98
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Laoudias, C, Panayiotou, CG & Kemppi, P 2010, On the RBF-based positioning using WLAN signal strength fingerprints. in Proceedings of the 7th Workshop on Positioning, Navigation and Communication, WPNC 2010. IEEE Institute of Electrical and Electronic Engineers , Piscataway, NJ, USA, pp. 93-98, 7th Workshop on Positioning, Navigation and Communication, WPNC 2010, Dresden, Germany, 11/03/10. https://doi.org/10.1109/WPNC.2010.5653403

On the RBF-based positioning using WLAN signal strength fingerprints. / Laoudias, C.; Panayiotou, C.G.; Kemppi, Paul.

Proceedings of the 7th Workshop on Positioning, Navigation and Communication, WPNC 2010. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2010. p. 93-98.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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N2 - Provision of accurate and reliable location estimates is the key issue for the proliferation of indoor location oriented services and applications. Our positioning method is based on Radial Basis Function (RBF) networks and we exploit Received Signal Strength (RSS) measurements from several WLAN Access Points (AP). We incorporate the RSS covariance matrix into the estimation method and couple that with a methodology that indicates which APs can be ignored during positioning without sacrificing accuracy. We evaluate the RBF method in a real-life setup, and experimental results suggest that the proposed approach performs well. (14 refs.)

AB - Provision of accurate and reliable location estimates is the key issue for the proliferation of indoor location oriented services and applications. Our positioning method is based on Radial Basis Function (RBF) networks and we exploit Received Signal Strength (RSS) measurements from several WLAN Access Points (AP). We incorporate the RSS covariance matrix into the estimation method and couple that with a methodology that indicates which APs can be ignored during positioning without sacrificing accuracy. We evaluate the RBF method in a real-life setup, and experimental results suggest that the proposed approach performs well. (14 refs.)

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Laoudias C, Panayiotou CG, Kemppi P. On the RBF-based positioning using WLAN signal strength fingerprints. In Proceedings of the 7th Workshop on Positioning, Navigation and Communication, WPNC 2010. Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . 2010. p. 93-98 https://doi.org/10.1109/WPNC.2010.5653403