Improvement of Kalman filters for WLAN based indoor tracking

Authors:
Jaegeol Yim;Seunghwan Jeong;Kiyoung Gwon;Jaehun Joo
Affiliations:
Dept. of Computer and Multimedia, College of Science and Technology, Dongguk Univ. at GyeongJu, Gyeongbuk 780-714, Republic of Korea;Dept. of Computer and Multimedia, College of Science and Technology, Dongguk Univ. at GyeongJu, Gyeongbuk 780-714, Republic of Korea;Dept. of Computer and Multimedia, College of Science and Technology, Dongguk Univ. at GyeongJu, Gyeongbuk 780-714, Republic of Korea;Dept. of Information Management, Dongguk Univ. at GyeongJu, Gyeongbuk, Republic of Korea
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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Abstract

Location Based Service (LBS) cannot be realized unless the location of the user is available. For indoor LBS, indoor positioning must be utilized and many researchers have been working on indoor positioning and tracking. For example, Extended Kalman filter (EKF) was exploited in Bluetooth based indoor positioning. Nowadays, WLAN (Wireless Local Area Network) is available virtually everywhere. Thus, WLAN based indoor positioning and tracking is more economical than Bluetooth based ones. This paper proposes a new WLAN based EKF indoor tracking method by extending existing Bluetooth based EKF positioning method. After analyzing the experimental results of it, we modified it to use K-NN method in the measurement stage of it. Then we propose to further improve the accuracy of indoor tracking by adjusting the parameter values referring to the map information. Experimental results comparing our method with other previous methods are discussed.