An In-Door Wireless Localization System in Campus Network

Author

Li, Wei ; Li, Suxiang ; Li, Yunchun ; Luo, Shasha ; Chen, Xinwei

Author_Institution

Sch. of Comput. Sci. & Technol., Beihang Univ., Beijing

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

In this paper, an in-door wireless localization algorithm named i-KWNN based on the KWNN algorithm is presented to solve the side effect of anonymous access points (AAP). Kalman filtering is adopted to enhance the tracking performance by smoothing signal strength. Therefore, the typical signal strength value of an access point can be inferred. The experiments show that this method can indirectly decrease the errors of the localization results. Finally, a location based services (LBS) system in the campus wireless LAN in Beihang University is designed and implemented, and WebGIS technology is used to display the user location.

Keywords

Kalman filters; indoor radio; wireless LAN; Kalman filtering; WebGIS technology; anonymous access points; campus network; campus wireless LAN; i-KWNN; in-door wireless localization system; location based services system; Computer errors; Computer science; Databases; Displays; Filtering; Information retrieval; Kalman filters; Smoothing methods; Weather forecasting; Wireless LAN;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.1187

Filename

4679095