| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 552455 | Decision Support Systems | 2008 | 12 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Jaegeol Yim, Chansik Park, Jaehun Joo, Seunghwan Jeong,