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http://dx.doi.org/10.12673/jant.2015.19.6.564

Wi-Fi Based Indoor Positioning System Using Hybrid Algorithm  

Shin, Geon-Sik (Department of Computer Science & Engineering, Seoul National University of Science and Technology)
Shin, Yong-Hyeon (Department of Computer Science & Engineering, Seoul National University of Science and Technology)
Publication Information
Journal of Advanced Navigation Technology / v.19, no.6, 2015 , pp. 564-573 More about this Journal
Abstract
GPS is the representative positioning technology for providing the location information. This technique has the disadvantage that does not operate in the shadow areas, such as urban or dense forest and the interior. This paper proposes a hybrid indoor positioning algorithm, which estimates a more accurate location of the terminal using strength of the Wi-Fi signal from the indoor AP. To determine the location of the user, we establish the most appropriate path loss model for the measurement environment. by using the RSSI value measured in a variety of environment such as building structure, person, distance, etc. The path loss exponent obtained by the path loss model is changed according to the environment. REKF, PF estimate the position of the terminal by using measured value from the AP with path loss exponent. For more accurate position estimation, we select positioning system by the value of threshold measured by experiments rather than a single positioning system. Experimental results using the proposed hybrid algorithm show that the performance is improved by about 17% than the conventional single positioning method.
Keywords
GPS; Hybrid; Indoor positioning system; Kalman filter; Particle filter;
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