Art

J-GLOBAL ID：201802223458906595   Reference number：18A2137793

Assistive Approach for Pedestrian Dead Reckoning Based on RSSI Using Access Point Selection Method

アクセスポイント選択法を用いたRSSIに基づく歩行者自律航法のための支援アプローチ

Author (5)： TATENO Shigeyuki (Department of Information, Production and Systems, Waseda University) ,  CHO YiTong (Department of Information, Production and Systems, Waseda University) ,  LI DungHan (Department of Information, Production and Systems, Waseda University) ,  TIAN Hao (Department of Information, Production and Systems, Waseda University) ,  HSIAO PengYu (Department of Information, Production and Systems, Waseda University)
Material： SICE Journal of Control, Measurement, and System Integration  (SICE JCMSI)
Volume： 11  Issue： 6  Page： 463-469(J-STAGE)  Publication year： 2018 
JST Material Number： L7831A  ISSN： 1882-4889  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *navigation(location) ,  *pedestrian ,  *positioning ,  tracking ,  smartphone ,  signal characteristic ,  terminal station ,  error(measure)
Semi thesaurus term： Access Point ,  Location tracking ,  *indoor positioning ,  *autonomous navigation ,  RSSI ,  estimate error

Author keywords (4)： indoor positioning ,  pedestrian dead-reckoning ,  received signal strength indicator ,  access point selection

JST classification (1)： Electronic navigation in general  (ND14010O)

Reference (18)：

• [1] Z. Deng, Y. Yu, X. Yuan, N. Wan, and L. Yang: Situation and development tendency of indoor positioning, China Communications, Vol. 10, No. 3, pp. 42-55, 2013.
• [2] S. Tateno, Y. Cho, D. Li, H. Tian, and P. Hsiao: Improvement of pedestrian dead reckoning by heading correction based on optimal access points selection method, Proc. SICE Annual Conference 2017, pp. 321-326, 2017.
• [3] A.S. Paul and E.A. Wan: RSSI-based indoor localization and tracking using sigma-point Kalman smoother, IEEE Journal of Selected Topics in Signal Processing, Vol. 3, No. 5, pp. 860-873, 2009.
• [4] C. Pei, Y. Cai, and Z. Ma: An indoor positioning algorithm based on received signal strength of WLAN, Pacific-Asia Conference on Circuits, Communications and System, pp. 516-519, 2009.
• [5] M. Khan, Y.D. Kai, and H.U. Gul: Indoor Wi-Fi positioning algorithm based on combination of location fingerprint and unscented Kalman filter, International Bhurban Conference on Applied Sciences and Technology (IBCAST), pp. 693-698, 2017.

Terms in the title (6)： アクセスポイント ,  選択法 ,  RSSI ,  歩行者 ,  自律航法 ,  支援