DocumentCode
626783
Title
Gating and robust EKF based target tracking in mixed LOS/NLOS environments
Author
Lili Yi ; Razul, Sirajudeen Gulam ; Zhiping Lin ; Chong-Meng See
Author_Institution
Sch. of EEE, Nanyang Technol. Univ., Singapore, Singapore
fYear
2013
fDate
19-23 May 2013
Firstpage
1364
Lastpage
1367
Abstract
A simple but effective approach based on gating and robust extended Kalman filtering (EKF) is proposed for target tracking in mixed line-of-sight and non-line-of-sight (LOS/NLOS) environments, using time-of-arrival (TOA) measurements. Utilizing a gating based detection method determined by the statistical properties of the TOA measurements, a confidence region is derived. Most of the LOS TOA measurements can be effectively selected from all mixture measurements using the properly defined confidence region. These selected LOS TOA measurements are then passed on to the dynamic robust EKF to do the target tracking. Simulations have shown the proposed tracking approach has outperformed both the classic rEKF as well as a recent target tracking approach. Moreover, the proposed approach does not require any statistical knowledge of the NLOS error and only assumes that the standard deviation of the LOS noise is known.
Keywords
Kalman filters; nonlinear filters; signal detection; target tracking; time-of-arrival estimation; EKF-based target tracking; LOS noise; NLOS error; confidence region; dynamic robust EKF; gating-based detection method; mixed LOS-NLOS environment; mixture measurement; selected LOS TOA measurement; statistical knowledge; statistical properties; target tracking approach; time-of-arrival measurement; Mathematical model; Noise; Noise measurement; Nonlinear optics; Robustness; Target tracking; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
Conference_Location
Beijing
ISSN
0271-4302
Print_ISBN
978-1-4673-5760-9
Type
conf
DOI
10.1109/ISCAS.2013.6572108
Filename
6572108
Link To Document