DocumentCode
1613335
Title
Observable degree analysis for tracking
Author
Xiao Yang ; Xinsheng Huang ; Shengjian Bai ; Qiang Fang ; Xiabin Dong
Author_Institution
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
fYear
2013
Firstpage
384
Lastpage
387
Abstract
An analysis of the observable degree of two tracking system is presented. It is shown that through the method based on mutual information, we can calculate the exact degree of observability of the system states and determine the estimation performance of the extended kalman filter(EKF) and particle filter(PF). Simulation results demonstrate the validity of the method.
Keywords
Kalman filters; nonlinear filters; observability; particle filtering (numerical methods); state estimation; target tracking; EKF; PF; estimation performance; extended kalman filter; mutual information; observable degree analysis; particle filter; system states observability degree; tracking system; Eigenvalues and eigenfunctions; Estimation; Filtering theory; Information filters; Information theory; Observability; Bearing-only Tracking; Extended Kalman Filter(EKF); Information Theory; Observable Degree; Particle Filter(PF);
fLanguage
English
Publisher
ieee
Conference_Titel
Chinese Automation Congress (CAC), 2013
Conference_Location
Changsha
Print_ISBN
978-1-4799-0332-0
Type
conf
DOI
10.1109/CAC.2013.6775764
Filename
6775764
Link To Document