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Quasi-Optimal Algorithms for Detection, Identification, and Adaptive Estimation for Information Processing in Navigation Systems of Mobile Ground Objects Based on Satellite Radio Navigation Systems

  • THEORY AND METHODS OF SIGNAL PROCESSING
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Abstract—

Quasi-optimal algorithms for information processing are synthesized for navigation systems of mobile ground objects using the methods of the Markov estimation theory of random processes. The novelty of these algorithms lies in the possibility to solve the problem of detecting radio signals of satellite radio navigation systems at the input of the receiving equipment together with the problem of adaptive estimation of parameters of these signals and the problem of identifying the parameters of the model of mobile ground objects. A structural diagram of the navigation system is developed based on the synthesized algorithms.

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Funding

This work was supported by the Russian Foundation for Basic Research, project no. 19-08-00312A.

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Authors and Affiliations

  1. Tambov Institute of Chemical Engineering, 392036, Tambov, Russia

    A. V. Ivanov, V. O. Surkov & D. V. Komrakov

Authors
  1. A. V. Ivanov
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  2. V. O. Surkov
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  3. D. V. Komrakov
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Corresponding author

Correspondence to A. V. Ivanov.

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Translated by O. Pismenov

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Ivanov, A.V., Surkov, V.O. & Komrakov, D.V. Quasi-Optimal Algorithms for Detection, Identification, and Adaptive Estimation for Information Processing in Navigation Systems of Mobile Ground Objects Based on Satellite Radio Navigation Systems. J. Commun. Technol. Electron. 65, 609–617 (2020). https://doi.org/10.1134/S106422692005006X

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