Multi-sensor information fusion method based on dynamic Bayesian networks

In order to improve the fault-tolerant and dynamic optimization capability of the information fusion method for multisensor system,the theory of dynamic Bayesian networks is used to rebuild the conventional federated Kalman filter.And a kind of active and dynamic information fusion and optimization method for multisensor systems under high dynamic situation is proposed.The simulation results show the high dynamic flexibility and fault-tolerant ability of the proposed method.