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
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;
Conference_Titel :
AFRICON, 2004. 7th AFRICON Conference in Africa
Conference_Location :
Gaborone
Print_ISBN :
0-7803-8605-1
DOI :
10.1109/AFRICON.2004.1406682
