Title :
TDOA/AOA localization in RFID system using dual indirect Kalman filter
Author :
Kim, D.K. ; Ha, J.H. ; Kim, P.J. ; You, K.H.
Author_Institution :
Electr. Eng. Dept., Sungkyunkwan Univ., Suwon, South Korea
Abstract :
The time difference of arrival (TDOA) is one of the most accurate localization techniques used in real time locating system (RTLS). However, environmental error and non-line-of-sight (NLOS) error undermine the accuracy of tracking. In order to reduce NLOS error influence, NLOS identification needs to be performed using TDOA standard deviation. After the NLOS identification, we use the additional angle of arrival (AOA) measurements from identified LOS base station. We propose dual indirect Kalman filter (DIKF) which includes error state filter and weight filter to estimate the position of target. The effectiveness of DIKF has been proved by comparing the tracking performance with reference through simulation results.
Keywords :
Kalman filters; direction-of-arrival estimation; radiofrequency identification; time-of-arrival estimation; LOS base station; RFID system; angle of arrival localization; dual indirect Kalman filter; environmental error; error state filter; non-line-of-sight error; real time locating system; time -ofdifference of arrival localization; weight filter; Silicon;
Conference_Titel :
System Integration (SII), 2011 IEEE/SICE International Symposium on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4577-1523-5
DOI :
10.1109/SII.2011.6147489