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Consensus variable structure multiple model filtering for distributed maneuvering tracking
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DOI：10.1016/j.sigpro.2019.04.026.png)
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This paper considers the problem of maneuvering target tracking for distributed sensor networks. Consensus-based multiple model (MM) filters are effective methods to deal with this problem. However, the model set of these filters is fixed. When the scene is complicated and the model set for MM methods is large, these methods may become inefficient and performance may decrease while the variable structure multiple model (VSMM) method can handle it well. The VSMM version of consensus filter based on the expected mode augmentation (EMA) is presented in this paper to track maneuvering target for distributed sensor networks. The distributed consensus filter for VSMM is presented first and it runs parallel consensus on both the mode probability and the mode-matched probability density function (PDF). Then the EMA algorithm is used to determine the model set utilized at each time step. Simulation results demonstrate the superiority of the proposed method. (C) 2019 Elsevier B.V. All rights reserved.
Keyword:
Variable structure multiple model
Consensus filter
Maneuvering target tracking
Distributed sensor networks
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