指挥控制与仿真2017，Vol.39Issue(4)：1-6,39,7.DOI:10.3969/j.issn.1673-3819.2017.04.001
基于混合动态贝叶斯网的无人机空战态势评估
Situation Assessment for Unmanned Aerial Vehicles Air Combat Based on Hybrid Dynamic Bayesian Network
孟光磊 1马晓玉 1刘昕 1徐一民2
作者信息
- 1. 沈阳航空航天大学, 辽宁 沈阳 110136
- 2. 西北工业大学, 陕西 西安 710129
- 折叠
摘要
Abstract
The situation assessment for the one-to-one mode of unmanned aerial vehicles air combat needs to consider the in-fluence of continuous and discrete variables, and the uncertain reasoning as well. According to the above analysis, the situa-tion assessment for unmanned aerial vehicles air combat based on Hybrid Dynamic Bayesian Network has been established. The flight data in an air combat has been analyzed. Some capability elements in an air combat have been extracted. According to the causal relationship, the topological structure of the Hybrid Dynamic Bayesian Network model has been established. By the subjective experience and the historical data, discrete network parameters and continuous network parameters have been designed. Discrete network parameters include prior probabilities, conditional probabilities and state transition probabilities. Continuous network parameters are some normal distributions. The chain algorithm and the filter algorithm are used for net-work inference. The simulation experiments showed that the situation assessment model for unmanned aerial vehicles air com-bat based on Hybrid Dynamic Bayesian Network has the advantages of rapidness, effectiveness and fault-tolerance.关键词
无人机/态势评估/混合动态贝叶斯网络Key words
unmanned aerial vehicles/situation assessment/Hybrid Dynamic Bayesian Network分类
航空航天引用本文复制引用
孟光磊,马晓玉,刘昕,徐一民..基于混合动态贝叶斯网的无人机空战态势评估[J].指挥控制与仿真,2017,39(4):1-6,39,7.
