Title :
Particle Filter Localization in Underground Mines Using UWB Ranging
Author :
Daixian, Zhu ; Kechu, Yi
Author_Institution :
State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´´an, China
Abstract :
Ultra Wideband technology is regarded by many as one of the future key technologies in communications and positioning. In this paper a positioning method is described for accurate underground mine localization of a sensor in a network of known beacons. The sensor measures the range to the beacons using an Ultra-Wideband (UWB) signal and uses statistical inference to correct for the error due to multipath and NLOS in underground mine. We show that a particle filter can be used to estimate the joint distribution over beacon measurement. Simulation results show perfect performance with UWB ranging and particle filter technology.
Keywords :
Global Positioning System; geophysical techniques; mining; particle filtering (numerical methods); ultra wideband communication; underground communication; wireless sensor networks; NLOS; UWB signal; beacon measurement; particle filter localization; statistical inference; ultrawideband signal; ultrawideband technology; underground mine localization; underground mines; Atmospheric measurements; Distance measurement; Equations; Fuel processing industries; Mathematical model; Particle filters; Wireless communication; PF; TDOA; UWB; underground mine;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.446
