In view of the track performance of the interacting multiple model(IMM)algorithm in the target tracking
an adaptive IMM algorithm of model set is presented. The implication of the model probability in the IMM algorithm is utilized to design the stretching factor of the model set. Thus
the model set can be adjusted adaptively by converging it to the center model
in which the real-time observations are utilized efficiently. Simulation results show that the maneuvering target is effectively tracked by using the proposed algorithm and the track accuracy is higher compared to conventional IMM algorithm. The limitation of the algorithm is that the prior information about the target maneuvering model must be known.
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references
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