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http://dx.doi.org/10.5370/JEET.2017.12.3.1286

An Indoor Positioning Method using IEEE 802.11 Channel State Information  

Escudero, Giovanni (Graduate School of Electronics Engineering, Kyungpook National University)
Hwang, Jun Gyu (Graduate School of Electronics Engineering, Kyungpook National University)
Park, Joon Goo (Graduate School of Electronics Engineering, Kyungpook National University)
Publication Information
Journal of Electrical Engineering and Technology / v.12, no.3, 2017 , pp. 1286-1291 More about this Journal
Abstract
In this paper, we propose an indoor positioning system that makes use of the attenuation model for IEEE 802.11 Channel State Information (CSI) in order to determine its distance from an Access Point (AP) at a fixed position. With the use of CSI, we can mitigate the problems present in the use of Received Signal Strength Indicator (RSSI) data and increase the accuracy of the estimated mobile device's location. For the experiments we performed, we made use of the Intel 5300 Series Network Interface Card (NIC) in order to receive the channel frequency response. The Intel 5300 NIC differs from its counterparts in that it can obtain not only the RSSI but also the CSI between an access point and a mobile device. We can obtain the signal strengths and phases from subcarriers of a system which in turn means making use of this data in the estimation of a mobile device's position.
Keywords
Indoor positioning; Channel State Information (CSI); Received Signal Strength Indicator (RSSI);
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1 H. Liu, H. Darabi, P. Banerjee, and J. Liu, "Survey of wireless indoor positioning techniques and systems," IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, vol. 37, no. 6. pp. 1067-1080, 2007.   DOI
2 X. Wang, S. Mao, S. Pandey, and P. Agrawal, "$CA^2T$: Cooperative Antenna Arrays Technique for pinpoint indoor localization," in Procedia Computer Science, 2014, vol. 34, pp. 392-399.   DOI
3 P. Bahl and V. N. Padmanabhan, "RADAR: An Inbuilding RF-based User Location and Tracking System," in Proc. IEEE INFOCOM 2000. The 19th Annual Conference on Computer Communications, 2000, vol. 2, pp. 775-784.
4 Z. Wu, C. Li, J. Ng, and K. Leung, "Location Estimation via Support Vector Regression," IEEE Trans. Mob. Comput., vol. 6, no. 3, pp. 311-321, 2007.   DOI
5 M. A. Youssef and A. Agrawala, "The Horus WLAN location determination system," Proc. 3rd Int. Conf. Mob. Syst. Appl. Serv. - MobiSys '05, pp. 205-218, 2005.
6 K. Fazel and S. Kaiser, Multi-Carrier and Spread Spectrum Systems: From OFDM and MC-CDMA to LTE and WiMAX: Second Edition. 2008.
7 M. Brunato and R. Battiti, "Statistical learning theory for location fingerprinting in wireless LANs," Comput. Networks, vol. 47, no. 6, pp. 825-845, 2005.   DOI
8 Y. Liu, Z. Yang, X. Wang, and L. Jian, "Location, localization, and localizability," J. Comput. Sci. Technol., vol. 25, no. 2, pp. 274-297, 2010.   DOI