Title :
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
fDate :
June 30 2008-July 3 2008
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;
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
