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Multi-state Diagnostics for Distributed Radio Direction Finding System

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Distributed Computer and Communication Networks (DCCN 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 700))

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Abstract

We consider a distributed Radio Direction Finding System (RDFS) and the structure of its hardware. A classical diagnostic model of the distributed RDFS according to the binary criterion is presented, which includes diagnostic graphs and a set of tests. We propose a theoretical basis for diagnosing of the distributed RDFS according to the n-dimensional criterion. An example of implementation of the diagnostic approach to the distributed RDFS for states “failure”, “deterioration”, “normal” is presented.

This work has been financially supported by the Russian Science Foundation and the Department of Science and Technology (India) via grant 16-49-02021 for the joint research project by the V.A. Trapeznikov Institute of Control Sciences and the CMS College Kottayam.

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References

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Authors and Affiliations

  1. V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, 65, Profsoyuznaya Street, Moscow, 117997, Russia

    Dmitry Aminev & Dmitry Kozyrev

  2. National Research University “Higher School of Economics”, Moscow, Russia

    Alexander Zhurkov

  3. RUDN University, Moscow, Russia

    Dmitry Kozyrev

Authors
  1. Dmitry Aminev
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  2. Alexander Zhurkov
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  3. Dmitry Kozyrev
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Corresponding author

Correspondence to Dmitry Kozyrev .

Editor information

Editors and Affiliations

  1. V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

    Vladimir M. Vishnevskiy

  2. RUDN University, Moscow, Russia

    Konstantin E. Samouylov

  3. V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

    Dmitry V. Kozyrev

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Aminev, D., Zhurkov, A., Kozyrev, D. (2017). Multi-state Diagnostics for Distributed Radio Direction Finding System. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds) Distributed Computer and Communication Networks. DCCN 2017. Communications in Computer and Information Science, vol 700. Springer, Cham. https://doi.org/10.1007/978-3-319-66836-9_37

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  • DOI: https://doi.org/10.1007/978-3-319-66836-9_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66835-2

  • Online ISBN: 978-3-319-66836-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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