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

fYear

2011

fDate

14-16 Sept. 2011

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4577-0893-0

Type

conf

DOI

10.1109/ICSPCC.2011.6061797

Filename

6061797