Performance comparison of nonlinear filters for indoor WLAN positioning

Author

Wang, Hui ; Szabo, Andrei ; Bamberger, Joachim ; Brunn, Dietrich ; Hanebeck, Uwe D.

Author_Institution

Corp. Technol., Inf. & Commun., Siemens AG, Munich

fYear

2008

fDate

June 30 2008-July 3 2008

Firstpage

1

Lastpage

7

Abstract

Indoor WLAN positioning should be modeled as a nonlinear and non-Gaussian dynamic system due to the complex indoor environment, radio propagation and motion behaviour. The aim of this paper is to analyze different filtering strategies for real life indoor WLAN positioning systems. The performance criteria for the comparison are the mean of localization errors and computational complexity. Three nonlinear filters are analyzed: Fourier density approximation (FF), particle filter (PF) and grid-based filter (GF), which are representatives for deterministic and random density approximation approaches. Our experimental results help to choose the appropriate filtering techniques under different resource limitations.

Keywords

approximation theory; computational complexity; indoor radio; nonlinear filters; nonlinear systems; particle filtering (numerical methods); wireless LAN; Fourier density approximation; computational complexity; deterministic approximation; grid-based filter; indoor WLAN positioning; localization errors; motion behaviour; nonGaussian dynamic system; nonlinear dynamic system; nonlinear filters; particle filter; radio propagation; random density approximation; Indoor Positioning; Nonlinear Filtering;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2008 11th International Conference on

Conference_Location

Cologne

Print_ISBN

978-3-8007-3092-6

Electronic_ISBN

978-3-00-024883-2

Type

conf

Filename

4632187