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Active and dynamic multi-sensor information fusion method based on Dynamic Bayesian Networks

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3 Author(s)
Pengxin Han ; Department of Space Engineering, Harbin Institute of Technology, Heilongjiang, 150001, China ; Rongjun Mu ; Naigang Cui

In order to improve the dynamic optimization capability and fault-tolerant ability of the information fusion method for multi-sensor system, the theory of dynamic Bayesian networks was used to rebuild the conventional federated Kalman filter in this paper, and a new kind of active and dynamic information fusion and optimization method for multisensor systems under high-dynamic situation was proposed. The simulation results indicated the high dynamic flexibility and fault-tolerant ability of the proposed method.

Published in:

2009 International Conference on Mechatronics and Automation

Date of Conference:

9-12 Aug. 2009