Performance Analysis of Localization Algorithm Using Virtual Access Points and Kalman Filter in Indoor Wi-Fi Environment 


Vol. 42,  No. 7, pp. 1463-1469, Jul.  2017
10.7840/kics.2017.42.7.1463


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  Abstract

In order to estimate the user location in an indoor Wi-Fi environment, the fingerprint map should be firstly constructed by measuring the received signal strength indicator (RSSI) of the existing access points (APs). However, the localization accuracy will be largely decreased because of the unstable RSSI values due to noise. In this paper, we proposed the localization algorithm (LA_VAP_KF) using the virtual access point (VAP) and the Kalman filter (KF) in indoor Wi-Fi environment and analyzed the localization accuracy of the proposed algorithm. It is confirmed that the accuracy of the distance error of the LA_VAP_KF is 3.43m, and it is increased than that of the fingerprint and VAP based algorithms by as much as 0.72m and 1.75m, respectively.

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  Cite this article

[IEEE Style]

B. Labinghisa, G. S. Park, D. M. Lee, "Performance Analysis of Localization Algorithm Using Virtual Access Points and Kalman Filter in Indoor Wi-Fi Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 7, pp. 1463-1469, 2017. DOI: 10.7840/kics.2017.42.7.1463.

[ACM Style]

Boney Labinghisa, Gu Sam Park, and Dong Myung Lee. 2017. Performance Analysis of Localization Algorithm Using Virtual Access Points and Kalman Filter in Indoor Wi-Fi Environment. The Journal of Korean Institute of Communications and Information Sciences, 42, 7, (2017), 1463-1469. DOI: 10.7840/kics.2017.42.7.1463.

[KICS Style]

Boney Labinghisa, Gu Sam Park, Dong Myung Lee, "Performance Analysis of Localization Algorithm Using Virtual Access Points and Kalman Filter in Indoor Wi-Fi Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 7, pp. 1463-1469, 7. 2017. (https://doi.org/10.7840/kics.2017.42.7.1463)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880