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关于PDAF与不确定性推理的分析与讨论

The Analysis and Discussing about the PDAF and Uncertainty Reasoning
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摘要 随着电子信息技术的迅猛发展和它在军事领域中的广泛应用,数据融合技术已经越来越得到人们的重视。作为目标跟踪与目标识别领域中的基本方法,PDAF与不确定性推理有着重要的意义。文章着重介绍了PDAF方法以及主观贝叶斯方法、证据理论的基本思想方法并对其各自的优缺点和相互关系予以分析。 With the violent development of the electronic information technology and its wide application in the military field,The Data Fusion technology already more and more obtained people's value.As the essential method in target tracking and target identification domain,PDAF and Uncertainty reasoning have important meaning.The basic concept?method and interrelation of PDAF and the subjective Bayes' method and the evidence theory are introduced emphatically in this paper.The advantages and disadvantages of them are all analyzed too.
作者 苏瑞
出处 《宜春学院学报》 2010年第4期11-13,共3页 Journal of Yichun University
关键词 概率数据关联滤波 主观贝叶斯方法 证据理论 PDAF subjective Bayes' method evidence theory
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