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Distributed interacting Multiple model joint probabilistic data association algorithm based on fuzzy weighted method

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2 Author(s)
Jianghu, Xu ; Electron. Eng. Coll., Naval Univ. of Eng., Wuhan, China ; Xue Feng

A distributed interacting Multiple model joint probabilistic data association algorithm based on fuzzy weighted method is presented in this paper. The model probabilities, state estimation and its covariance of same target corresponding to different sensors are fused in the fusion centre using fuzzy weighted method in the algorithm. The fuzzy weight is membership degree of trace of covariance of same target corresponding to different sensors. The effectivity and validity of the algorithm are tested by computer simulation.

Published in:

Computer Application and System Modeling (ICCASM), 2010 International Conference on  (Volume:9 )

Date of Conference:

22-24 Oct. 2010