Indoor RF Fingerprinting using leaky feeder cable considering environmental changes

RF Fingerprinting for indoor localization using wireless local area networks attracted significant attention throughout the last decade. A severe drawback of this approach however is the laborious effort to calibrate the radiomap. Especially in case of environmental changes recalibration becomes necessary. Furthermore, the amount of moving people in a building, such as airports or shopping malls, leads to significant degradation in location accuracy. The main focus of our research project WIPoS (<u>Wi</u>reless <u>In</u>door <u>Po</u>sitioning <u>Sy</u>stem) is to solve this problem by appropriate antenna engineering and optimized methods. This paper shows that the application of leaky feeder cable compared to standard omnidirectional antennas, especially in the presence of obstacles, leads to higher accuracies making recalibration almost unnecessary.

[1]  Prashant Krishnamurthy,et al.  Sixth Annual IEEE International Conference on Pervasive Computing and Communications Location Fingerprint Analyses Toward Efficient Indoor Positioning , 2022 .

[2]  Simo Ali-Löytty,et al.  A comparative survey of WLAN location fingerprinting methods , 2009, 2009 6th Workshop on Positioning, Navigation and Communication.

[3]  Andrew G. Dempster,et al.  Indoor Positioning Techniques Based on Wireless LAN , 2007 .

[4]  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).

[5]  Martin Vossiek,et al.  Wireless local positioning , 2003 .

[6]  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..

[7]  Rainer Mautz,et al.  The challenges of indoor environments and specification on some alternative positioning systems , 2009, 2009 6th Workshop on Positioning, Navigation and Communication.

[8]  Hao Wang,et al.  A wireless LAN-based indoor positioning technology , 2004, IBM J. Res. Dev..

[9]  Joseph Kee-Yin Ng,et al.  Enhancing Indoor Positioning Accuracy by Utilizing Signals from Both the Mobile Phone Network and the Wireless Local Area Network , 2008, 22nd International Conference on Advanced Information Networking and Applications (aina 2008).