Three Dimensional Localization Technology for Mobile Device Based on WLAN

Article Preview

Abstract:

We present a Three-dimension WLAN based indoor localization system for mobile device. It is based on the RSS of the wireless signal and estimates the target node’s localization. Multi-times measurement and filter will improve the accuracy of the localization. In the end this system achieves the Three-dimension indoor localization system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

936-939

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Hui Liu, Houshang Darabi, Pat Banerjee, Jing Li: Survey of Wireless Indoor Positioning Techniques and Systems. IEEE Transactions on Systems, man, and cybernetics. Vol. 37 No. 6(2007).

DOI: 10.1109/tsmcc.2007.905750

Google Scholar

[2] Martin Vossiek, Leif Wiebking, Peter Gulden, Jan Wieghardt, Clemens Hoffmanm, Patric Heide : Wireless Local Positionning. IEEE microwave magazine Vol. 12( 2003).

DOI: 10.1109/mmw.2003.1266069

Google Scholar

[3] Zheng Li, Wim Dehaene, Georges Gielen: 3-tier UWB-Based Indoor Localization System for Ultra-Low-Power Sensor Networks. IEEE transactions on Wireless Communications, Vol. 8- 6, ( 2009).

DOI: 10.1109/twc.2009.080602

Google Scholar

[4] J. Crassidis: Sigma-point Kalman filtering for integrated gps and inertial navigation . in Proc. AIAA Guidance, Nav., Control Conf. Exhibit, (2005).

DOI: 10.2514/6.2005-6052

Google Scholar

[5] Dieter Fox, Jeffrey Hightower, Lin Liao, Dirk Schulz, Gaetano Borriello: Bayesian filtering for location estimation. PERVASIVE computing, IEEE CS, (2003).

DOI: 10.1109/mprv.2003.1228524

Google Scholar

[6] Anindya S. Paul,Eric A. Wan: RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers. SIGNAL PROCESSING. Vol5-3( 2009).

DOI: 10.1109/jstsp.2009.2032309

Google Scholar

[7] Teddy Mantoro,Media A. Ayu: Improving the Accuracy of Indoor User Location Using IEEE 802. 11 Signals. TENCON. (2010).

DOI: 10.1109/tencon.2010.5686119

Google Scholar

[8] Joao Figueiras, Hans-Peter Schwefel, Istvan Kovacs: Accuracy and timing aspects of location information based on signal-strength measurements in Bluetooth. 16th International Symposium on Personal, Indoor and Mobile Radio Communication. (2005).

DOI: 10.1109/pimrc.2005.1651931

Google Scholar