Title :
EKF localization based on TDOA/RSS in underground mines using UWB ranging
Author :
Zhu, Daixian ; Yi, Kechu
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 an EKF based on TDOA/RSS positioning algorithm 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. It shows that an EKF based on TDOA/RSS algorithm can be used to improved positioning accuracy over beacon measurement. Simulation results show perfect performance with UWB ranging and EKF based on TDOA/RSS positioning algorithm.
Keywords :
Kalman filters; multipath channels; sensors; time-of-arrival estimation; ultra wideband communication; EKF localization; NLOS; TDOA/RSS positioning; UWB ranging; accurate underground mine localization; beacon measurement; extended Kalman filter; known beacons; multipath; received signal strength; sensor network; statistical inference; time difference of arrival; ultra-wideband signal; ultra-wideband technology; underground mines; Accuracy; Bandwidth; Distance measurement; Mobile communication; Position measurement; Synchronization; Ultra wideband technology; EKF; TDOA/RSS; UWB; underground mine;
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-0893-0
DOI :
10.1109/ICSPCC.2011.6061797
