DocumentCode
2785595
Title
A projection-based joint probabilistic data association algorithm
Author
Van Wyk, Barend I. ; Van Wyk, Michaël A. ; Noël, Guillaume
Author_Institution
French South African Tech. Inst. in Electron., Tshwane Univ. of Technol., Pretoria
Volume
1
fYear
2004
fDate
17-17 Sept. 2004
Firstpage
13
Abstract
A novel projection-based joint probabilistic data association (PJPDA) algorithm is presented. The JPDA problem is formulated as a constrained optimization problem and solved using projection onto convex sets (POCS) methods. The PJPDA algorithm is extremely simple to implement, has no strenuous memory requirements and completely avoids the generation of feasible event matrices. The algorithm complexity is discussed and simulation results presented
Keywords
computational complexity; optimisation; set theory; target tracking; algorithm complexity; constrained optimization problem; feasible event matrices; memory requirements; multi target track systems; projection onto convex sets; projection-based joint probabilistic data association algorithm; Africa; Constraint optimization; Covariance matrix; Data processing; Delay; Kalman filters; Neural networks; Probability; State estimation; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
AFRICON, 2004. 7th AFRICON Conference in Africa
Conference_Location
Gaborone
Print_ISBN
0-7803-8605-1
Type
conf
DOI
10.1109/AFRICON.2004.1406621
Filename
1406621
Link To Document