On the RBF-based positioning using WLAN signal strength fingerprints

C. Laoudias; C.G. Panayiotou; Paul Kemppi

doi:10.1109/WPNC.2010.5653403

On the RBF-based positioning using WLAN signal strength fingerprints

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

University of Cyprus

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

21 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 language	English
Title of host publication	Proceedings of the 7th Workshop on Positioning, Navigation and Communication, WPNC 2010
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	93-98
ISBN (Electronic)	978-1-4244-7158-4
ISBN (Print)	978-1-4244-7157-7
DOIs	https://doi.org/10.1109/WPNC.2010.5653403
Publication status	Published - 2010
MoE publication type	A4 Article in a conference publication
Event	7th Workshop on Positioning, Navigation and Communication, WPNC 2010 - Dresden, Germany Duration: 11 Mar 2010 → 12 Mar 2010

Conference

Conference	7th Workshop on Positioning, Navigation and Communication, WPNC 2010
Abbreviated title	WPNC 2010
Country/Territory	Germany
City	Dresden
Period	11/03/10 → 12/03/10

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10.1109/WPNC.2010.5653403

Cite this

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title = "On the RBF-based positioning using WLAN signal strength fingerprints",

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.)",

author = "C. Laoudias and C.G. Panayiotou and Paul Kemppi",

year = "2010",

doi = "10.1109/WPNC.2010.5653403",

language = "English",

isbn = "978-1-4244-7157-7",

pages = "93--98",

booktitle = "Proceedings of the 7th Workshop on Positioning, Navigation and Communication, WPNC 2010",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "7th Workshop on Positioning, Navigation and Communication, WPNC 2010, WPNC 2010 ; Conference date: 11-03-2010 Through 12-03-2010",

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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 proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - On the RBF-based positioning using WLAN signal strength fingerprints

AU - Laoudias, C.

AU - Panayiotou, C.G.

AU - Kemppi, Paul

PY - 2010

Y1 - 2010

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.)

U2 - 10.1109/WPNC.2010.5653403

DO - 10.1109/WPNC.2010.5653403

M3 - Conference article in proceedings

SN - 978-1-4244-7157-7

SP - 93

EP - 98

BT - Proceedings of the 7th Workshop on Positioning, Navigation and Communication, WPNC 2010

PB - IEEE Institute of Electrical and Electronic Engineers

CY - Piscataway, NJ, USA

T2 - 7th Workshop on Positioning, Navigation and Communication, WPNC 2010

Y2 - 11 March 2010 through 12 March 2010

ER -

On the RBF-based positioning using WLAN signal strength fingerprints

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