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http://dx.doi.org/10.5916/jkosme.2016.40.1.62

Radio map fingerprint algorithm based on a log-distance path loss model using WiFi and BLE  

Seong, Ju-Hyeon (Department of Electrical & Electronics Engineering, Korea Maritime and Ocean University)
Gwun, Teak-Gu (G2ICT)
Lee, Seung-Hee (Department of Internet Game, Deakyeung University)
Kim, Jeong-Woo (Department of Electronics & Electrical Engineering, Dongyang University)
Seo, Dong-hoan (Division of Electronics & Electrical Information Engineering, Korea Maritime and Ocean University)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.40, no.1, 2016 , pp. 62-68 More about this Journal
Abstract
The fingerprint, which is one of the methods of indoor localization using WiFi, has been frequently studied because of its ability to be implemented via wireless access points. This method has low positioning resolution and high computational complexity compared to other methods, caused by its dependence of reference points in the radio map. In order to compensate for these problems, this paper presents a radio map designed algorithm based on the log-distance path loss model fusing a WiFi and BLE fingerprint. The proposed algorithm designs a radio map with variable values using the log-distance path loss model and reduces distance errors using a median filter. The experimental results of the proposed algorithm, compared with existing fingerprinting methods, show that the accuracy of positioning improved by from 2.747 m to 2.112 m, and the computational complexity reduced by a minimum of 33% according to the access points.
Keywords
Indoor localization; Bluetooth low energy; Fingerprint; Log-distance Path loss model;
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Times Cited By KSCI : 23  (Citation Analysis)
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