Ubiquitous Intelligent Floor Combined Positioning Method Based on Fusion of Bluetooth Signal and Barometer

Rong Na, Min Yu, Mengqi Yu


Of the indoor floor location and complex environment, this paper, we research the Bluetooth signal attenuation of signal in multi-storey buildings, was proposed based on the Bluetooth signal and the barometer of fusion in intelligent floor combination positioning method, according to the structure of the building and receive the number of AP switch under different indoor environment using the matching algorithm, to adapt to a wider range and higher accuracy. In the case of less AP, the experimental results show that the static floor positioning accuracy reaches 95% in different building environments.


Floor Positioning; Signal Attenuation; Bluetooth; Air pressure

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Chen Ruizhi, Chen Liang. Acta geodaetica et cartographica sinica, 2017, 46 (10): 1316-1326.

T. Moder, P. Hafner, K. Wisiol and M. Wieser. 3D indoor positioning with pedestrian dead reckoning and activity recognition based on Bayes filtering// 2014 International Conference on Indoor Positioning and Indoor Navigation. Busan, South Korea: IEEE, 2015: 717-720.

Davidson P, Collin J, Takala J. Application of particle filters for indoor positioning using floor plans[C]// 2010 Ubiquitous Positioning Indoor Navigation and Location Based Service. IEEE, 2010: 1-4.

Abd Rahman M A, Dashti M, Zhang J. Floor determination for positioning in multi-story building[C]//2014 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2014: 2540-2545.

Li Y, Gao Z, He Z, Zhang P, Chen R, El-sheimy N (2018) Robust floor localization for multi-sensor localization. IEEE Access 6:76689 – 76699.

Deng Zhongliang, WANG Wenjie, XU Lianming. A Novel Method for Floor Discrimination of WLAN Indoor Location based on K-means Algorithm [J]. Software, 2012, 33 (12): 114-117.

Maneerat K, Prommak C (2014) An Enhanced floor estimation algorithm for indoor wireless localization systems using confidence Int J Comput, Electr, Autom, Control Inf Eng 8(7):1182 – 1186.

Muralidharan, K.; Khan, A.J.; Misra, A.; Balan, R.K. Barometric phone sensors: More hype than hope! In Proceedings of the 15th Workshop on Mobile Computing Systems and Applications, Santa Barbara, CA, USA, 26-27 February 2014; Pp. 1-6.

Wu Qixuan. Research on Low Power Bluetooth 4.0 Indoor Positioning Technology Based on RSSI [D]. Zhejiang University,2018.

DOI: http://dx.doi.org/10.18686/esta.v8i4.207


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