Identification of Objects During the Structural and System Monitoring of the Situation
Azret Ahmatovich Kochkarov, Sergey N. Rаzinkоv, Александр Васильевич Тимошенко, V. A. Shevtsov · Journal of Computer and Systems Sciences International · 2021
Abstract Using the criterion of the minimum average risk, the statistically optimal algorithm for identifying objects by the same type of parameters is synthesized for the structural and system monitoring of the situation. In order to reduce computational costs, its quasi-optimal modification is performed, based on the exclusion of significantly different parameter values from the compared arrays. An identification simulation model is developed in the Qt Creator software environment in the object-oriented C++ programming language. Based on the statistical tests of the model, the probabilities of correctly identifying objects and false alarms are investigated according to estimates of the maximum likelihood of angular coordinates. The dependences of the indicators of identification efficiency on the root mean square errors (RMSEs) of the parameter estimates, the number of objects, and their density in the monitoring area are analyzed.