DocumentCode
2199083
Title
Bearings-Only Maneuvering Target Tracking Based on STF and UKF
Author
Yali, Wang
Author_Institution
East China Univ. of Sci. & Technol., Shanghai, China
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
295
Lastpage
299
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on
Conference_Location
Phuket
Print_ISBN
978-0-7695-3489-3
Type
conf
DOI
10.1109/ICACTE.2008.10
Filename
4736969
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