A Method of Determining the Basic Belief Assignment for Combined Primary and Secondary Surveillance Radars Based on Dezert-Smarandache Theory

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.