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A method of determining the basic belief assignment for combined primary and secondary surveillance radars based on Dezert-Smarandache theory

机译:基于Dezert-Smarandache理论的组合式主次监视雷达基本信念分配的确定方法

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This paper presents a method of determining the basic belief assignment of the identification information provided by combined primary and secondary (IFF) radars. These types of sensors are the primary source of surveillance information about air and maritime objects. The basis of theoretical considerations is Dezert-Smarandache theory of inference. In this paper is adopted the basic taxonomy of attribute identification in accordance with the standards of STANAG 1241 ed. 5 and STANAG 1241 ed. 6 (draft). In the paper a method for determining the probability of a correct detection depending on the distance of the "object ¿¿¿ sensor" for combined primary and secondary radars is presented. The appropriate interpretation for the correct detection in accordance with those standards is given. The basic belief assignment for different secondary sets of attribute identification values has been defined. The construction of bba is based on Dezert-Smarandache theory and the mentioned standards. The results of numerical experiments are presented in the final part of the paper.
机译:本文提出了一种确定由主要和次要(IFF)组合雷达提供的识别信息的基本置信度分配的方法。这些类型的传感器是有关空中和海上物体的监视信息的主要来源。理论考虑的基础是Dezert-Smarandache推理理论。本文采用了根据STANAG 1241 ed的标准进行属性识别的基本分类法。 5和STANAG 1241版。 6(草稿)。在本文中,提出了一种用于根据组合的主雷达和副雷达的“对象”传感器的距离确定正确检测概率的方法。给出了根据那些标准进行正确检测的适当解释。已经定义了属性标识值的不同第二组的基本信念分配。 bba的构建基于Dezert-Smarandache理论和上述标准。数值实验的结果在本文的最后部分给出。

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