Localization performance analysis of KNN in IEEE 802.11 TGn channel

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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.

Original languageEnglish
Title of host publication2011 International Conference on ICT Convergence, ICTC 2011
Pages219-220
Number of pages2
DOIs
StatePublished - 2011
Event2011 International Conference on ICT Convergence, ICTC 2011 - Seoul, Korea, Republic of
Duration: 28 Sep 201130 Sep 2011

Publication series

Name2011 International Conference on ICT Convergence, ICTC 2011

Conference

Conference2011 International Conference on ICT Convergence, ICTC 2011
Country/TerritoryKorea, Republic of
CitySeoul
Period28/09/1130/09/11

Keywords

  • IEEE 802.11 TGn Model
  • Localization
  • Positioning

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