DocumentCode
2366267
Title
An IMM-UF algorithm for tracking highly maneuvering target
Author
Wang, Xiao ; Han, Chongzhao ; Zhang, Hui
Author_Institution
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
fYear
2010
fDate
4-7 Aug. 2010
Firstpage
1862
Lastpage
1867
Abstract
Tracking of highly maneuvering targets with unknown behavior is a difficult problem in state estimation. This paper presents an adaptive interacting multiple model algorithm (IMM) utilizing adaptive turn rate models to track a maneuvering target. The turn rate is calculated at each step form the estimator of velocity and the radius of curvature of the trajectory of the target by using Least Square (LS) and curve fitting theory. Simulation in different scenario proves that the turn-rate estimation techniques in this adaptive framework can significantly solve the problem of tracking maneuvering targets.
Keywords
curve fitting; least squares approximations; state estimation; target tracking; IMM-UF algorithm; adaptive interacting multiple model algorithm; adaptive turn rate model; curve fitting theory; highly maneuvering target tracking; least square; state estimation; unknown behavior; Curve fitting; Estimation; Noise; Noise measurement; Radar tracking; Target tracking; Trajectory; IMM; maneuvering target tracking; turn rate estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2010 International Conference on
Conference_Location
Xi´an
ISSN
2152-7431
Print_ISBN
978-1-4244-5140-1
Electronic_ISBN
2152-7431
Type
conf
DOI
10.1109/ICMA.2010.5588860
Filename
5588860
Link To Document