Имитационная модель отождествления объектов при структурно-системном мониторинге обстановки

Authors

  • Александра Сергеевна Литикова Air Force Academy named after Professor N.E. Zhukovsky and Yu. A. Gagarin
  • Сергей Николаевич Разиньков Air Force Academy named after Professor N.E. Zhukovsky and Yu. A. Gagarin

DOI:

https://doi.org/10.17308/sait.2018.1/1183

Keywords:

criterion of minimum of average risk, osteriori probability of hypothesis of identification, conditional probability of situation of identification, probability of the correct and false identification of objects

Abstract

With use of criterion of a minimum of average risk in a program development environment Qt Creator in the C++ language the imitating model of identification of objects at structural and system monitoring of a situation is constructed. On the basis of statistical experi-ments probabilities of the correct and false identification of objects by estimates of angular coor-dinates are investigated. The analysis of their dependences on mean square errors of estimates of parameters of identification, number and the sizes of field of placement of objects is carried out

Author Biographies

  • Александра Сергеевна Литикова, Air Force Academy named after Professor N.E. Zhukovsky and Yu. A. Gagarin

    junior research assistant of the Research test center of radio-electronic struggle, Air Force Academy named after Professor N. E. Zhukovsky and Yu. A. Gagarin (Voro-nezh).

  • Сергей Николаевич Разиньков, Air Force Academy named after Professor N.E. Zhukovsky and Yu. A. Gagarin

    lead research assistant of the Research test center of radio-electronic struggle, Air Force Academy named after Professor N.E. Zhukovsky and Yu. A. Gagarin (Voronezh).

References

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Published

2018-02-26

Issue

Section

Mathematical Methods of System Analysis and Management

How to Cite

Имитационная модель отождествления объектов при структурно-системном мониторинге обстановки. (2018). Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, 1, 14-18. https://doi.org/10.17308/sait.2018.1/1183