Title :
A quick algorithm of neural combinatorial optimization to data association problem of multimaneuvering target tracking
Author :
Zhongliang, Jing ; Guawei, Z. ; Hongren, Zhou
Author_Institution :
Res. Center of MMTT, Northwestern Polytech. Univ., Xi´´an, China
Abstract :
A method of neural joint probabilistic data association (NJPDA) is presented. The properties of joint probabilistic data association (JPDA) are analyzed. Data association is reduced to a sort of constraint combinatorial optimization problem, and the combinatorial explosion of computation of JPDA is solved. Simulations show that the method presented is effective and reliable
Keywords :
combinatorial mathematics; neural nets; optimisation; probability; tracking; combinatorial explosion; multimaneuvering target tracking; neural combinatorial optimization; neural joint probabilistic data association; Computational modeling; Constraint optimization; Covariance matrix; Data analysis; Explosions; Gaussian noise; Neural networks; Noise measurement; Target tracking; Time measurement;
Conference_Titel :
Neural Networks, 1993., IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0999-5
DOI :
10.1109/ICNN.1993.298567
