DocumentCode
2361190
Title
Localization performance analysis of KNN in IEEE 802.11 TGn channel
Author
Sohn, InSoo
Author_Institution
Dongguk Univ. - Seoul, Seoul, South Korea
fYear
2011
fDate
28-30 Sept. 2011
Firstpage
219
Lastpage
220
Abstract
With growing demand for location based services, research on high resolution location estimation methods in indoor wireless environments have grown over the years. Currently the most popular localization method based on RSS is the fingerprinting KNN method proposed by Bahl and Padmanabhan due to its simplicity. In this paper we present the experimental results on the multiple antenna KNN method in IEEE 802.11 TGn MIMO channel models for high resolution location estimation.
Keywords
MIMO communication; antenna arrays; learning (artificial intelligence); pattern classification; telecommunication computing; wireless channels; IEEE 802.11 TGn MIMO channel model; RSS; fingerprinting KNN method; high resolution location estimation method; indoor wireless environment; localization performance analysis; location based service; multiple antenna K-nearest neighbor method; multiple antenna KNN method; Channel models; Fingerprint recognition; IEEE 802.11 Standards; Receiving antennas; Signal to noise ratio; Wireless communication; IEEE 802.11 TGn Model; Localization; Positioning;
fLanguage
English
Publisher
ieee
Conference_Titel
ICT Convergence (ICTC), 2011 International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4577-1267-8
Type
conf
DOI
10.1109/ICTC.2011.6082583
Filename
6082583
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