DocumentCode
2787092
Title
A projection-based joint probabilistic data association algorithm [multi-target tracking applications]
Author
van Wyk, B.J. ; van Wyk, M.A. ; Noel, G.
Author_Institution
French South African Tech. Inst. in Electron., Tshwane Univ. of Technol., Pretoria
Volume
1
fYear
2004
fDate
17-17 Sept. 2004
Firstpage
313
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. Algorithm complexity is discussed and simulation results presented
Keywords
associative processing; convex programming; optimisation; probability; target tracking; MTT systems; PJPDA algorithm; POCS methods; constrained optimization problem; joint probabilistic data association algorithm; multiple target tracking; projection onto convex sets methods; projection-based data association algorithm; Africa; Constraint optimization; Covariance matrix; Data processing; Delay; 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.2004.1406682
Filename
1406682
Link To Document