Wi-Fi-based Positioning in a Complex Underground Environment

Underground mining tunnels constitute a very particular environment for radio wave propagation – with characteristics of both indoor and outdoor “regular” environments. This paper shows how a general-purpose Wi- Fi-based indoor positioning system, OwlPS (Owl Positioning System) was adapted to work in that particular environment. A series of experiments, conducted in a formerly exploited gold mine at 70 metres below the surface, across about 400 metres of drifts, is then introduced; it primarily aims at determining the positioning accuracy that can be reached in such a context with a Wi-Fi-based positioning system using the signal strength at 2.4 GHz. The results obtained are improved with a filter, and the mean Euclidean distance error is under 10 metres in most cases when the terminal is carried by an operator; this makes OwlPS usable as is for asset management and emergency positioning of workers underground.

[1]  Nadir Hakem,et al.  Wi-Fi-based positioning in underground mine tunnels , 2013, International Conference on Indoor Positioning and Indoor Navigation.

[2]  Walter Grote.  Wireless SISO Channel Propagation Model for Underground Mines , 2009 .

[3]  J.C. Ralston,et al.  Localisation of mobile underground mining equipment using wireless Ethernet , 2005, Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005..

[4]  Masayuki Nakamura,et al.  Development of a simple multiple-position identifying system with a long range multiband leaky coaxial cable for rescue operations in tunnels or passages in underground facilities , 2010, 2010 Asia-Pacific Microwave Conference.

[5]  Takeshi Sasaki,et al.  Underground Positioning: Subway Information System Using WiFi Location Technology , 2009, 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware.

[6]  Yue Ping Zhang.  Enhancement of waveguide model for propagation-loss prediction in tunnels , 2001 .

[7]  Frédéric Lassabe,et al.  Open Wireless Positioning System: A Wi-Fi-Based Indoor Positioning System , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[8]  Philippe Canalda,et al.  OwlPS: A Self-calibrated Fingerprint-Based Wi-Fi Positioning System , 2011, EvAAL.

[9]  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).

[10]  Janne Haverinen,et al.  A geomagnetic field based positioning technique for underground mines , 2011, 2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE).

[11]  S. A. Mahmoud.  Characteristics of Electromagnetic Guided Waves for Communication in Coal Mine Tunnels , 1974, IEEE Trans. Commun..

[12]  Michael D. Bedford,et al.  Evaluation of ZigBee (IEEE 802.15.4) Time-of-Flight-Based Distance Measurement for Application in Emergency Underground Navigation , 2012, IEEE Transactions on Antennas and Propagation.

[13]  W. Hawkins,et al.  Positioning in Underground Mines , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

[14]  P.J. Foster,et al.  High Resilience Networks and Microwave Propagation in Underground Mines , 2006, 2006 European Conference on Wireless Technology.

[15]  Philippe Canalda,et al.  Benchmark measurements for Wi-Fi signal strength-based positioning system , 2012, 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[16]  Oliver Schneider.  Requirements for positioning and navigation in underground constructions , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.