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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, the main application of the decision-level attribute estimation methods in real-time C3 I system are the bass method and Dempster Shafer evidence theory. After the target parameter data is obtained, the attribute to be identified is obtained by the fusion of a plurality of parameter data. In this paper, we introduce the basic principle and fusion process of the bass method and Dempster Shafer evidence theory, compare the two and give an example. Finally, the development of attribute estimation method is prospected.