Title :
Bearings-Only Maneuvering Target Tracking Based on STF and UKF
Author_Institution :
East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
The bearings-only tracking problem (BOT) has been studied for many years and UKF has extensively been applied in passive non-maneuvering target tracking. When target takes maneuver, the estimation will diverge. STF can track the abrupt change of state by tuning the gain matrix online. Based on the advantages of STF and UKF, a new method, STF_UKF, is proposed to track maneuvering target with bearings-only measurements from two separate stationary observers. Simulation results show that STF_UKF is feasible and effective in tracking maneuvering target, especially when initial state deviation and measurement noise are great.
Keywords :
Kalman filters; direction-of-arrival estimation; target tracking; tracking filters; bearings-only maneuvering target tracking; bearings-only measurements; gain matrix online; passive nonmaneuvering target tracking; strong tracking filter; unscented Kalman filter; Filtering; Gaussian noise; Least squares approximation; Maximum likelihood estimation; Noise measurement; Observers; Passive filters; Robustness; Surveillance; Target tracking;
Conference_Titel :
Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3489-3
DOI :
10.1109/ICACTE.2008.10
