Multi-sensor information fusion method based on dynamic Bayesian networks

被引：0
|
作者：
Mu, Rong-Jun [1 ]
Han, Peng-Xin [1 ]
Cui, Nai-Gang [1 ]
机构：
[1] Department of Astronautics Engineering, Harbin Institute of Technology, Harbin 150001, China
来源：
Kongzhi yu Juece/Control and Decision | 2009年 / 24卷 / 09期
关键词：
Sensor data fusion - Fault tolerance - Bayesian networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：1340 / 1344
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