Range Based Localisation Using RF and the Application to Mining Safety

This paper describes the derivation and experimental validation of a novel sensor model for radio frequency sensors to be used for localisation purposes. A comprehensive description of the modelling aspects is presented. Outdoor range only tracking results using the newly derived model are fully described with a comparison to the free space model commonly used for radio frequency applications. Although this approach is applicable for generic localisation purposes in indoor and outdoor environments, it is of fundamental importance when applied to proximity detection involving large machines. In particular in environments such as mining, stevedoring and construction there is a need to detect the presence of personnel in close proximity to machines. A close proximity system that makes use of the newly derived model is presented working with a 100 tons mining haul truck

[1]  J. Heidemann,et al.  Experimental Analysis of Concurrent Packet Transmissions in Low-Power Wireless Networks , 2005 .

[2]  Gang Zhou,et al.  Impact of radio irregularity on wireless sensor networks , 2004, MobiSys '04.

[3]  Antonio Nieto,et al.  Development and testing of a vehicle collision avoidance system based on GPS and wireless networks for open~pit mines , 2003 .

[4]  Neil J. Gordon,et al.  A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..

[5]  Paul H. P.E. Young.  Electronic Communication Techniques , 1985 .

[6]  N. Gordon,et al.  Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .

[7]  T M Ruff,et al.  TEST RESULTS OF COLLISION WARNING SYSTEMS FOR SURFACE MINING DUMP TRUCKS. , 2000 .

[8]  T. M. Ruff.  Recommendations for testing radar-based collision warning systems on heavy equipment , 2002 .

[9]  Thia Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .

[10]  B. Sklar,et al.  Rayleigh fading channels in mobile digital communication systems Part I: Characterization , 1997, IEEE Commun. Mag..

[11]  Oscar Serrano Serrano,et al.  Robot localization using WiFi signal without intensity map , 2004 .

[12]  B. Sklar,et al.  Rayleigh Fading Channels in Mobile Digital Communication Systems Part II: Mitigation , 1997, IEEE Communications Magazine.

[13]  Rong Peng,et al.  Robust, probabilistic, constraint-based localization for wireless sensor networks , 2005, 2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2005. IEEE SECON 2005..

[14]  Gerold Kloos,et al.  Range based localisation for mining safety - RFID based system to detect the presence of personnel in close proximity to large machines , 2006 .

[15]  Rodney G. Vaughan,et al.  Channels, Propagation and Antennas for Mobile Communications , 2003 .

[16]  Wolfram Burgard,et al.  Mapping and localization with RFID technology , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[17]  Gergely V. Záruba,et al.  A Bayesian sampling approach to in-door localization of wireless devices using received signal strength indication , 2005, Third IEEE International Conference on Pervasive Computing and Communications.