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Indoor User Tracking with Particle Filter

Authors:
Incheol Kim
Eunmi Choi
Huikyung Oh

Keywords: WiFi fingerprint; indoor tracking; particle filter; probabilistic model

Abstract:
Recently there have been developed a number of mobile personal assistants, which can provide their users with useful location-based services. In this paper, we propose a WiFi fingerprint-based localization algorithm for tracking the accurate position of a smartphone user in indoor environment. To meet high complexity of localization in a large continuous environment, our algorithm incorporates a graph-based space representation, a linear interpolation-based observation model, and three component motion models into the particle filter framework. In experimental evaluation, our WiFi localization algorithm showed high accuracy and robustness in indoor tracking.

Pages: 59 to 62

Copyright: Copyright (c) IARIA, 2012

Publication date: July 22, 2012

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-218-9

Location: Nice, France

Dates: from July 22, 2012 to July 27, 2012