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Guiding an Unmanned Aerial Vehicle with a Thermal Imaging Correlation-Contrast Algorithm of Automatic Tracking in Conditions of Information Counteraction

  • MANAGEMENT IN STOCHASTIC SYSTEMS AND UNDER UNCERTAINTY
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Abstract

The problem of constructing an algorithm for automatic tracking of a ground object for a guidance system (GS) for an unmanned aerial vehicle (UAV) is considered. The guidance system includes a thermal imaging target coordinator with a combined correlation-contrast direction finding algorithm and a strapdown inertial navigation system. Guidance takes place under conditions of information counteraction, which causes random interruptions in information and random changes in the power of interference, which are recorded by the corresponding indicators. A combined noise-resistant automatic tracking algorithm is obtained, using the readings of information interruption indicators, interference power, and measuring bearing angles, based on the theory of systems with a random jump structure. An example is given that illustrates the operation of the algorithm and demonstrates the satisfactory accuracy of automatic tracking.

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REFERENCES

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Funding

This work was supported by the Russian Science Foundation, project no. 22-29-00708.

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Authors and Affiliations

  1. Moscow Aviation Institute (National Research University), 125080, Moscow, Russia

    V. A. Boldinov & A. A. Skrynnikov

  2. Moscow Scientific Research Television Institute, 123298, Moscow, Russia

    V. A. Bukhalev & B. L. Shapiro

  3. State Scientific Research Institute of Aviation Systems, 125319, Moscow, Russia

    A. A. Skrynnikov

Authors
  1. V. A. Boldinov
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  2. V. A. Bukhalev
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  3. A. A. Skrynnikov
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  4. B. L. Shapiro
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Corresponding author

Correspondence to V. A. Boldinov.

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Boldinov, V.A., Bukhalev, V.A., Skrynnikov, A.A. et al. Guiding an Unmanned Aerial Vehicle with a Thermal Imaging Correlation-Contrast Algorithm of Automatic Tracking in Conditions of Information Counteraction. J. Comput. Syst. Sci. Int. 62, 935–941 (2023). https://doi.org/10.1134/S1064230723060047

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  • DOI: https://doi.org/10.1134/S1064230723060047

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