Abstract:

The traditional multiple-model algorithm of maneuvering target tracking always causes combinatorial explosion and model competition with the growth in the number of model， which greatly deteriorates the performance of the tracking system. To solve this problem, a kind of model-set adaptive algorithm of variable structure multiple-model algorithm is proposed. Based on the Kullback-Liber (K-L) criterion, the matching situation of each model-set is analyzed, and then the model-set adaptive regulation is carried out. The model probability and transition probability matrix between models at each moment are derived, which provides the support for the realization of the variable structure multiple-model algorithm. Simulation results demonstrate the feasibility and effectiveness of this proposed algorithm.