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A Cloud Model Inference System Based Alpha-Beta Filter for Tracking of Maneuvering Target

An adaptive alpha-beta filter based on cloud model inference is presented for maneuvering target tracking. The proposed tracker incorporates cloud model in a conventional alpha-beta filter by using the rule bank based on cloud model, which utilizes the residue error and the change of residue error in the last prediction to determine the values of alpha and beta, then track the maneuverable target accurately. The experiment results show that the algorithm is satisfactory and effective.