Presentation 2014/7/21
Robust Wi-Fi Fingerprinting based on Boosting Considering Signal Strength Stability of APs
DAISUKE TANIUCHI, TAKUYA MAEKAWA,
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Abstract(in English) This paper proposes a new Wi-Fi based indoor positioning method that is robust over unstable Wi-Fi access points (APs). Because Wi-Fi based indoor positioning relies on unstable and uncontrollable infrastructure (Wi-Fi APs), the positioning performance significantly decreases when such unstable APs are included in the localization system. This paper proposes a indoor positioning method by employing ensemble of weak position estimators, which permits us to construct a robust positioning model. Our proposed boosted position estimator has the following features. 1) The estimator does not overfit the training data and thus it is robust over unstable signals from APs. 2) Because each weak estimator employs a small number of APs for positioning, the estimator does not affected by the curse of dimensionality. 3) Our model can adaptively change the weight (importance) of each weak estimator according to a user's position in order to achieve a position-aware precise localization.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Indoor Positioning / Fingerprinting / Curse of Dimensionality / Boosting
Paper # Vol.2014-UBI-43 No.3
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Committee SC
Conference Date 2014/7/21(1days)
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Registration To Services Computing (SC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Robust Wi-Fi Fingerprinting based on Boosting Considering Signal Strength Stability of APs
Sub Title (in English)
Keyword(1) Indoor Positioning
Keyword(2) Fingerprinting
Keyword(3) Curse of Dimensionality
Keyword(4) Boosting
1st Author's Name DAISUKE TANIUCHI
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name TAKUYA MAEKAWA
2nd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
Date 2014/7/21
Paper # Vol.2014-UBI-43 No.3
Volume (vol) vol.114
Number (no) 157
Page pp.pp.-
#Pages 7
Date of Issue