Active and Dynamic Multi-sensor Information Fusion Method Based on Dynamic Bayesian Networks

摘要

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 multi-sensor systems under high-dynamic situation was proposed. The simulation results indicated the high dynamic flexibility and fault-tolerant ability of the proposed method.