计算机工程2011，Vol.37Issue(15)：152-154,3.DOI:10.3969/j.issn.1000-3428.2011.15.048
基于时变贝叶斯网络的无人机态势评估模型
Unmanned Aerial Vehicle Situation Assessment Model Based on Time-varying Bayesian Networks
摘要
Abstract
In order to solve the problem of situation assessment for Uninhabited Aerial Vehicle(UAV) in emergent threats environment, this paper presents a situation assessment model based on Time-varying Bayesian Networks(TVBN). The Posteriori Probability Support Vector Machine (PPSVM) is used to make the uncertain classification of pop-up threat information, and these classification results are used as input information into the assessment model as evidences. Probabilistic reasoning is proposed to complete the situation assessment in dynamic environment. The rationality of the model and the accuracy of situation assessment are verified by simulating the task that the UAV detects the emergent threats.关键词
无人机/态势评估/时变贝叶斯网络/后验概率支持向量机/突发威胁Key words
Unmanned Aerial Vehicle(UAV)/situation assessment/Time-varying Bayesian Networks(TVBN)/Posteriori Probability Support Vector Machine(PPSVM)/emergent threats分类
信息技术与安全科学引用本文复制引用
王长清,王振玲..基于时变贝叶斯网络的无人机态势评估模型[J].计算机工程,2011,37(15):152-154,3.基金项目
河南省教育厅科技攻关计划基金资助项目(2008510012) （2008510012）
