An improved fingerprinting method for localization WLAN-based

Many location-based services require location awareness, but it is often too expensive to include a GPS receiver in every network node. Hence, localization schemes using radio signal strength is more attractive when high precision isn't in demand. Fingerprinting is an effective method, but it is inaccurate when accidental gross error is included in the measurement. In this paper, we exploit an improved fingerprinting technique to overcome the accidental gross error caused by mobile person or other interference sources. By setting a threshold of signal distance, these accidental errors can be eliminated. Experimental results indicate that the improved method can locate a client with an average accuracy of 1–2m. What's more, it is more robust than basic fingerprinting.

[1]  Joel Barnes,et al.  Hybrid Method for Localization Using WLAN , 2005 .

[2]  Woo Cheol Chung,et al.  An accurate ultra wideband (UWB) ranging for precision asset location , 2003, IEEE Conference on Ultra Wideband Systems and Technologies, 2003.

[3]  A. Carvalho,et al.  Trilateration for indoors positioning within the framework of wireless communications , 2009, 2009 35th Annual Conference of IEEE Industrial Electronics.

[4]  R.L. Moses,et al.  Locating the nodes: cooperative localization in wireless sensor networks , 2005, IEEE Signal Processing Magazine.

[5]  Dileeka Dias,et al.  Integration of fingerprinting and trilateration techniques for improved indoor localization , 2010, 2010 Seventh International Conference on Wireless and Optical Communications Networks - (WOCN).

[6]  Dana H. Brooks,et al.  Closed-form solution for positioning based on angle of arrival measurements , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  Kamalika Chaudhuri,et al.  Location determination of a mobile device using IEEE 802.11b access point signals , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[8]  K. C. Ho,et al.  An accurate algebraic solution for moving source location using TDOA and FDOA measurements , 2004, IEEE Transactions on Signal Processing.

[9]  Alfred O. Hero,et al.  Locating the Nodes , 2005 .

[10]  Panos K. Chrysanthis,et al.  On indoor position location with wireless LANs , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[11]  S.A.D. Dias,et al.  Design, implementation & testing of positioning techniques in mobile networks , 2007, 2007 Third International Conference on Information and Automation for Sustainability.

[12]  C. Rizos,et al.  Method for yielding a database of location fingerprints in WLAN , 2005 .

[13]  Paramvir Bahl,et al.  RADAR: an in-building RF-based user location and tracking system , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[14]  Koen Langendoen,et al.  Distributed localization in wireless sensor networks: a quantitative compariso , 2003, Comput. Networks.

[15]  M. Ekstrom,et al.  Local positioning for wireless sensors based on Bluetooth/spl trade/ , 2004, Proceedings. 2004 IEEE Radio and Wireless Conference (IEEE Cat. No.04TH8746).

[16]  Johan Hjelm,et al.  Local Positioning Systems: LBS Applications and Services , 2006 .

[17]  Robert A. Scholtz,et al.  Ranging in a dense multipath environment using an UWB radio link , 2002, IEEE J. Sel. Areas Commun..

[18]  Bill N. Schilit,et al.  Place Lab: Device Positioning Using Radio Beacons in the Wild , 2005, Pervasive.