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Model-set is utilized in state estimation for maneuvering target tracking.Two minimal symmetric model-subsets are designed and investigated by moment matching method,which include hypersphere-symmetric model-subset and axis-symmetric model-subset,if system mode is a random variable and obeys certain probability distribution.They can be used as the fundamental model-subset for multiple models estimation with fixed structure,variable structure and moving bank.The model-groups constructed by above designed subsets are given,which give the practical guidance for use of model-set in multiple models approach with a variable structure.Simulation results show that the performances of two minimal model-set significantly outperform the corresponding model-sets with fixed spacing.
Model-set is utilized in state estimation for maneuvering target tracking. Two minimal symmetric model-subsets are designed and investigated by moment matching method, which includes hypersphere-symmetric model-subset and axis-symmetric model-subset, if system mode is a random variable and obeys certain probability distribution. They can be used as the fundamental model-subset for multiple models estimation with fixed structure, variable structure and moving bank. model-groups constructed by the designed subsets are given, which give the practical guidance for use of model-set in multiple models approach with a variable structure. Simulation results show that the performances of two minimal models-set significantly outperform the corresponding models-sets with fixed spacing.