Extended Kalman Filter for wireless LAN based indoor positioning

Authors:
Jaegeol Yim;Chansik Park;Jaehun Joo;Seunghwan Jeong
Affiliations:
Department of Computer and Multimedia, Dongguk University, 707 Sukjang-Dong, Gyeongju, Gyeongbuk, 780-714, South Korea;School of Electrical and Computer Engineering, Chungbuk National University, 410 Sungbong-Ro, Heungduk-Gu, Cheongju, Chunbuk, 361-763, South Korea;Department of Electronic Commerce, Dongguk University, 707 Sukjang-Dong, Gyeongju, Gyeongbuk, 780-714, South Korea;Department of Computer and Multimedia, Dongguk University, 707 Sukjang-Dong, Gyeongju, Gyeongbuk, 780-714, South Korea
Venue:
Decision Support Systems
Year:
2008

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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.