Probabilistic Method to reduce the Deviation of WPS Positioning Estimation 


Vol. 37,  No. 7, pp. 586-594, Jul.  2012


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  Abstract

The drastic growth of mobile communication and spreading of smart phone make the significant attention on Location Based Service. The one of most important things for vitalization of LBS is the accurate estimating position for mobile object. Focusing on AP’s probabilistic position estimation, we develop an AP distribution map and new pattern matching algorithm for position estimation. The developed approaches can strengthen the advantages of Radio fingerprint based Wi-Fi Positioning System, especiall on the algorithms and data handling. Compared on the existing approaches of fingerprint pattern matching algorithm, we achieve the comparable higher performance on both of average error of estimation and deviation of errors. Furthermore all fingerprint data have been harvested from the actual measurement of radio fingerprint of Seoul, Kangnam area. This can approve the practical usefulness of proposed methodology.

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  Cite this article

[IEEE Style]

J. Kim and S. Kang, "Probabilistic Method to reduce the Deviation of WPS Positioning Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 7, pp. 586-594, 2012. DOI: .

[ACM Style]

Jae-Hoon Kim and Suk-Yon Kang. 2012. Probabilistic Method to reduce the Deviation of WPS Positioning Estimation. The Journal of Korean Institute of Communications and Information Sciences, 37, 7, (2012), 586-594. DOI: .

[KICS Style]

Jae-Hoon Kim and Suk-Yon Kang, "Probabilistic Method to reduce the Deviation of WPS Positioning Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 7, pp. 586-594, 7. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880