Presentation 2011/5/26
An Interpolation Method of Training Data for Indoor WLAN Positioning System
RYOUSUKE KUBOTA, SHIGEAKI TAGASHIRA, YUTAKA ARAKAWA, AKIRA FUKUDA,
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Abstract(in English) The development of wireless LAN-based positioning technologies has been proceeding to realize indoor location-depended services that require high positioning accuracy. In this paper, we propose an interpolation method of training data for location fingerprinting to reduce the cost required for building the training data. More specifically, a critical problem with location fingerprinting is considerable cost for measuring received signal strengths at every location where the positioning is possible. In the proposed method, a part of the training data is interpolated from data actually observed at several locations using a path loss model considering wall attenuation. Furthermore, to confirm the effectiveness of the proposed method, we examine the performance of location estimation and verify the interpolated data. As compared with a conventional method, the proposed method can improve the positioning accuracy by 15%.
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Paper # Vol.2011-DPS-147No.2,Vol.2011-MBL-58No.2
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Committee MoMuC
Conference Date 2011/5/26(1days)
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Registration To Mobile Multimedia Communications(MoMuC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) An Interpolation Method of Training Data for Indoor WLAN Positioning System
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1st Author's Name RYOUSUKE KUBOTA
1st Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University()
2nd Author's Name SHIGEAKI TAGASHIRA
2nd Author's Affiliation Faculty of Information Science and Electrical Engineering, Kyushu University
3rd Author's Name YUTAKA ARAKAWA
3rd Author's Affiliation Faculty of Information Science and Electrical Engineering, Kyushu University
4th Author's Name AKIRA FUKUDA
4th Author's Affiliation Faculty of Information Science and Electrical Engineering, Kyushu University
Date 2011/5/26
Paper # Vol.2011-DPS-147No.2,Vol.2011-MBL-58No.2
Volume (vol) vol.111
Number (no) 75
Page pp.pp.-
#Pages 6
Date of Issue