Paper Info
Title
Extended Kalman Filter for wireless LAN based indoor positioning
Abstract
A WLAN (Wireless Local Area Network) based Extended Kalman Filter (EKF) method for indoor positioning is introduced in this paper. WLAN based indoor positioning is more economical than other methods because it does not require any special equipment dedicated to positioning. The most popular technique used for indoor positioning is the fingerprinting method, but the EKF method is easier to deploy because, unlike fingerprinting, it does not require a time consuming off-line phase. This paper also provides experimental comparisons of our EKF method with other indoor positioning methods.
Year
DOI
Venue
2008
10.1016/j.dss.2008.03.004
Decision Support Systems
Keywords
Field
DocType
trilateration,experimental comparison,popular technique,special equipment,ekf method,bayesian method,fingerprinting method,extended kalman filter,decision tree,indoor positioning,indoor positioning method,k-nn,time consuming off-line phase,wireless local area network
Wireless network,Decision tree,Data mining,Hybrid positioning system,Extended Kalman filter,Computer science,Fingerprint,Real-time computing,Triangulation (social science),Wi-Fi,Trilateration,Embedded system
Journal
Volume
Issue
ISSN
45
4
Decision Support Systems
Citations 
PageRank 
References 
31
1.57
20
Authors
4
Name
Order
Citations
PageRank
Jaegeol Yim113614.05
Chansik Park2536.03
Jaehun Joo31108.95
Seunghwan Jeong4583.53