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 :
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