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ThinkMind // UBICOMM 2012, The Sixth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies // View article ubicomm_2012_1_10_10041


Compass and WLAN Integration for Indoor Tracking on Mobile Phones

Authors:
Moritz Kessel
Martin Werner
Claudia Linnhoff-Popien

Keywords: Indoor Location Systems; 802.11 Fingerprinting; Mobile Phone Tracking; Location-Based Services.

Abstract:
Indoor positioning with smartphones in ubiquituos computing scenarios still poses some problems with respect to accuracy and precision as well the need for a calibrated infrastructure and map data. This paper presents a method for indoor positioning based on the combination of 802.11 WLAN fingerprinting using weighted kNN and a simple indoor movement model based on digital compass information. We introduce a novel computation scheme for the distance in WLAN signal space, additionally considering the Euclidean real world distance between each fingerprint and the position predicted by the movement model. A detailed evaluation in a test environment at our site demonstrates a performance gain of more than 10% as compared to a classical Kalman filter. Moreover, we also show that the Kalman filter offers a slightly better capability to correct the accumulation of errors over time when accurate movement information in form of step detection is available.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2012

Publication date: September 23, 2012

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-236-3

Location: Barcelona, Spain

Dates: from September 23, 2012 to September 28, 2012

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