Title: Particle Filter Based WiFi Positioning System Implementation Using WiFiSLAM Radio Map
Author(s): Beomju Shin, Chulki Kim, Jaehun Kim, Changdon Kee, Taikjin Lee
Published in: Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016)
September 12 - 16, 2016
Oregon Convention Center
Portland, Oregon
Pages: 2251 - 2253
Cite this article: Shin, Beomju, Kim, Chulki, Kim, Jaehun, Kee, Changdon, Lee, Taikjin, "Particle Filter Based WiFi Positioning System Implementation Using WiFiSLAM Radio Map," Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016), Portland, Oregon, September 2016, pp. 2251-2253.
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Abstract: In this paper, we present the particle filter based WiFi positioning system (WPS) implementation using WiFiSLAM radio map. To make the radio map for WPS, we apply two methods. In case that map data is given, dynamic search (DS) is applied to construct the radio map. If the map data does not exist, the WiFiSLAM is used to make the radio map. To demonstrate the performance of WiFiSLAM radio map, we estimate the position of user using WiFiSLAM radio map. The experimental results show the positioning error from WiFiSLAM radio map is similar with the positioning error from the DS radio map.