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
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;
Conference_Titel :
Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-5760-9
DOI :
10.1109/ISCAS.2013.6572108