DocumentCode
3370128
Title
A new in-door location detection method adopting learning algorithms
Author
Ogawa, T. ; Yoshino, S. ; Shimizu, M. ; Suda, H.
Author_Institution
Wireless Network Innovation Lab., NTT Network Innovation Labs., Japan
fYear
2003
fDate
26-26 March 2003
Firstpage
525
Lastpage
530
Abstract
This new location detection method uses wireless LAN systems. The location of the user station is established using the received intensity at a user station of signals from wireless base stations. The method employs two unique concepts. 1) Instead of a discrete coordinate position to define the location of user station, the location is found by using a localized area. 2) The learning algorithms based on LVQ (learning vector quantization) are applied to process in location. As a result, our method provides more accurate positions compared with conventional least squares method (LSM) methods in areas far from the base points.
Keywords
learning (artificial intelligence); vector quantisation; wireless LAN; discrete coordinate position; in-door location detection method; learning algorithms; learning vector quantization; localized area; received intensity; signals; user station location; wireless LAN systems; wireless base stations; Pervasive computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Communications, 2003. (PerCom 2003). Proceedings of the First IEEE International Conference on
Conference_Location
Fort Worth, TX
Print_ISBN
0-7695-1893-1
Type
conf
DOI
10.1109/PERCOM.2003.1192784
Filename
1192784
Link To Document