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
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;
Conference_Titel :
AFRICON, 2004. 7th AFRICON Conference in Africa
Conference_Location :
Gaborone
Print_ISBN :
0-7803-8605-1
DOI :
10.1109/AFRICON.2004.1406621
