Paper Info
Title
Gating and robust EKF based target tracking in mixed LOS/NLOS environments
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.
Year
DOI
Venue
2013
10.1109/ISCAS.2013.6572108
ISCAS
Keywords
Field
DocType
confidence region,los noise,kalman filters,mixed los-nlos environment,target tracking approach,gating-based detection method,target tracking,ekf-based target tracking,statistical properties,mixture measurement,time-of-arrival measurement,nlos error,selected los toa measurement,dynamic robust ekf,time-of-arrival estimation,signal detection,statistical knowledge,nonlinear filters,vectors,robustness,mathematical model,nonlinear optics,noise measurement,noise
Non-line-of-sight propagation,Confidence region,Extended Kalman filter,Gating,Detection theory,Computer science,Control theory,Electronic engineering,Kalman filter,Standard deviation
Conference
ISSN
ISBN
Citations 
0271-4302
978-1-4673-5760-9
0
PageRank 
References 
Authors
0.34
8
4
Name
Order
Citations
PageRank
Lili Yi1131.96
Sirajudeen Gulam Razul29614.41
Zhiping Lin352.15
Chong Meng Samson See417519.41