贝斯方法与Dempster-Shafer证据理论的讨论  

Discussion of Bayesian method and Dempster-Shafer evidence theory

作　　者：涂嘉文[1] 徐守时[1] 

机构地区：[1]中国科学技术大学电子工程与信息科学系,安徽合肥230027

出　　处：《红外与激光工程》2001年第2期139-142,共4页Infrared and Laser Engineering

摘　　要：目前 ,实时C3 I系统中主要应用的判决级属性估计方法有贝斯方法和Dempster Shafer证据理论。在获得目标参数数据之后 ,通过对多个参数数据的融合获得所要识别的属性。文中介绍了贝斯方法和Dempster Shafer证据理论的基本原理和融合过程 ,将两者进行比较并给出一个实例。最后展望了属性估计方法的发展。At present, Bayesian method and Dempster-Shafer evidence theroy are the primary methods of decision-level identity estimation used in real-time C\+3I system. The identity is discerned by fusing multiple parametric data obtained by multisensor. In this paper, the basic theory and fusion process of two methods are introduced and compared. An example is presented. At last, the development of identity estimation methods is put forward.

关 键 词：属性估计 贝斯方法 D-S证据理论 C^3I系统 

分 类 号：E141[军事—军事理论]