Abstract
Through estimating the optimal corresponding relationship between measurements and dynamic states of targets, data association can be depicted as a kind of constrained combination optimization problem. Chaotic optimization adaptive genetic algorithm is applied to solve data association, the simulation results indicate that it has high successful association ratio; Furthermore, adaptive genetic algorithm, chaotic optimization algorithm and chaotic optimization adaptive genetic algorithm are respectively adopted to solve data association, as a result chaotic optimization adaptive genetic algorithm has better association ability than the other two algorithms, besides faster convergence speed.
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