引入神经网络的交互式多模型算法

ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2001, Vol. 22 ›› Issue (1): 54-56.

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INTERACTING MULTIPLE MODEL ALGORITHM WITH NEURAL NETWORKS

CHEN Li-bin, TONG Ming-an

Department of Electronics Engineering, Northwestern Polytechnical University, Xi'an 710072, China

Received:1999-10-20 Revised:2000-01-30 Online:2001-02-25 Published:2001-02-25

Abstract

Abstract: The interacting multiple model(IMM) algorithm has been shown to be one of the most effective estimation algorithms in the field of maneuvering target tracking. “Current”statistical model filtering algorithm is modified by neural networks and then adopted in IMM algorithm.The tracking performance for maneuvering target can be improved.The results of the modified IMM algorithm are evaluated through Monte Carlo simulation.

Key words: IMM, neur al net wo rks, m aneuv ering tar get, “curr ent”sta tistical model

CHEN Li-bin;TONG Ming-an. INTERACTING MULTIPLE MODEL ALGORITHM WITH NEURAL NETWORKS[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2001, 22(1): 54-56.

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INTERACTING MULTIPLE MODEL ALGORITHM WITH NEURAL NETWORKS

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