Abstract:

A multiple target tracking method based on metaheuristic data association is proposed. Firstly, the tracking gate logic is used to confirm the effective measurements. Then, the association relation between measurements and targets is described by the likelihood function of filter innovation, and the multiple targets data association model is estabilished under constraints. Basis of which, a measurement the elimination way is adopted, and the ant colony optimization (ACO) algorithm is designed to translate the data association problem to be solved into the form of combination optimization problem without constraints. After that, the metaheuristically searching ability of the ACO alorithm is used to search the optimal association in discrete area. The simulation results prove that the metaheuristic method, which has less computation, is reasonable and effective for data association and has the engineering application value.