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http://dx.doi.org/10.5302/J.ICROS.2013.19.2.146

Enhanced Indoor Positioning Algorithm Using WLAN RSSI Measurements Considering the Relative Position Information of AP Configuration  

Kim, A Sol (Kyungpook National University)
Hwang, Jungyu (Kyungpook National University)
Park, Joongoo (Kyungpook National University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.19, no.2, 2013 , pp. 146-151 More about this Journal
Abstract
With the development of mobile internet, requirements of positioning accuracy for the LBS (Location Based Service) are becoming more and more higher. The LBS is based on the position of each mobile device. So, it requires a proper acquisition of accurate user's indoor position. Thus indoor positioning technology and its accuracy is crucial for various LBS. In general, RSSI (Received Signal Strength Indicator) measurements are used to obtain the position information of mobile unit under WLAN environment. However, indoor positioning error increases as multiple AP's configurations are becoming more complex. To overcome this problem, an enhanced indoor localization method by AP (Access Point) selection criteria adopting DOP (Dilution of Precision) is proposed.
Keywords
LBS; indoor positioning; DOP; RSSI;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 A. Nafarieh and J. Ilow, "A testbed for localizing wireless LAN devices using received signal strength," IEEE CNSRC, 2008
2 G. Lachapelle, "GNSS indoor location technologies," GNSS, 2004.
3 P. Bahl and V. N. Padmanabhan, "An in-building RF-based user location and tracking system," Microsoft Research, 2000.
4 C.-B. Lim, S.-H. Kang, H.-H. Cho, S.-W. Park, and J.-G. Park, "An enhanced indoor localization algorithm based on IEEE 802.11 WLAN using rssi and multiple parameters," ICSNC, 2010.
5 R. Want, A. Hopper, V. Falcao, and J. Gibbons, "The active badge location system," Olivertti Research Ltd, 1992.
6 B. B. Parodi, H. Lenz, A. Szabo, H. Wang, J. Horn, J. Bamberger, and J. Obradovic, "Initialization and online-learning of RSS maps for indoor/campus localization," IEEE/ION PLANS 2006, San Diego, USA, Apr. 2006.
7 M. Vossiek, L. Wiebking, P. Gulden, J. Wieghardt, and C. Hoffmann, "Wireless local positioning-concepts, solutions, application," IEEE MicrowaveMagazine, vol. 4, pp. 77-87, Dec. 2003.   DOI   ScienceOn
8 H. Wang, H. Lenz, A. Szabo, J. Bamberger, and U. D. Hanebeck, "WLAN-based pedestrian tracking using particle filters and lowcost MEMS sensors," Workshop on Positioning, Navigation and Communication, Hannover, Germany, Mar. 2007.
9 P. Krishnamurthy, K. Pahlavan, and J. Beneat, Radio propagation.
10 P. Bahl and V. N. Padmanabhan, "RADAR: an in-buildingRFbased user location and tracking system," IEEE Infocom2000, Tel Aviv, Israel, vol. 2, pp. 775-784, Mar. 2000.
11 N. B. Priyantha, A. Chakraborty, and H. Balakrishnan, "The cricket location-support system," Proc the 6th Annual International Conference on Mobile Computing and Networking, Boston, Massachusetts, United States, pp, 32-43, 2000.
12 H. W. Kang, D. W. Lim, D. H. Hwang, and S. J. Lee, "Relationship between readers' arrangement and DOP in the TDOA based position tracking system," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 17, no. 1, pp. 68-71, 2011.   DOI   ScienceOn
13 M. H. Tak and Y. H. Joo, "Localization for cooperative behavior of swarm robots based on wireless sensor network," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 18, no. 8, pp. 725-730, 2012.   과학기술학회마을   DOI   ScienceOn