A Hierarchical Distributed Situation Assessment Model Based on Bayesian Networks

摘要：

Situation assessment (SA) is one of the important processes in military decision. As a component of battlefield data fusion and decision support, SA is not easy to be realized ideally by using one particular technology in practice. Like any other complex military process, it requires the cooperation of lots of information processing technology. This paper describe a mechanism for constructing probabilistic models to represent and analyze uncertainties and assessing battlefield state based on a hierarchical distributed fusion processing of incoming information which can help commanders and analysts to model and assess the dynamic evolving situational state easily. We adopted a hierarchy distributed DBN model which can process information hierarchically and cooperatively through higher-level dynamic Bayesian networks and distributed lower-level dynamic Bayesian networks. And a 3-layer distributed computation environment is also introduced. The hierarchy distributed DBN can generate an accurate and efficient assessment of the battlespace and suitable for military hierarchical organizations.

关键词： data fusion situation assessment Bayesian networks dynamic Bayesian networks distributed computation

作者: Jing Nong Lei Wang Huilin Yin

作者单位: School of Electronics and Information Engineering Tongji University Shanghai China Chinese-German School of Postgraduate Studies Tongji University Shanghai China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 115-119

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）