TY - GEN
T1 - Localization performance analysis of KNN in IEEE 802.11 TGn channel
AU - Sohn, Insoo
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - IEEE 802.11 TGn Model
KW - Localization
KW - Positioning
UR - http://www.scopus.com/inward/record.url?scp=83755220415&partnerID=8YFLogxK
U2 - 10.1109/ICTC.2011.6082583
DO - 10.1109/ICTC.2011.6082583
M3 - Conference contribution
AN - SCOPUS:83755220415
SN - 9781457712678
T3 - 2011 International Conference on ICT Convergence, ICTC 2011
SP - 219
EP - 220
BT - 2011 International Conference on ICT Convergence, ICTC 2011
T2 - 2011 International Conference on ICT Convergence, ICTC 2011
Y2 - 28 September 2011 through 30 September 2011
ER -