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Adaptive Algorithms for Information Processing in Navigation Complexes of Mobile Ground Objects

  • ON THE 100th ANNIVERSARY OF V.I. TIKHONOV
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Abstract

In this paper, complex adaptive algorithms for information processing in navigation complexes of mobile ground objects based on satellite radio navigation systems are synthesized applying Markov theory methods for optimal estimation of random processes. The algorithms make it possible to detect abnormal measurements at the output of the equipment for receiving radio signals from satellite radio navigation systems, and to additionally control the integrity of navigation data of satellite radio navigation systems based on the use of information from barometric altimeter. A structural scheme for information processing by the navigation complex is developed. A computer simulation of the obtained adaptive algorithms is carried out.

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Authors and Affiliations

  1. Tambov State Technical University, 392000, Tambov, Russia

    A. V. Ivanov

  2. Main Directorate of Scientific Studies and Engineering Support of Advanced Technologies (Innovative Research), Ministry of Defense of the Russian Federation, 119160, Moscow, Russia

    V. Yu. Shishkin

  3. Main Organizational Mobilizational Directorate, General Staff of the Armed Forces of the Russian Federation, 119160, Moscow, Russia

    D. V. Boikov

  4. Russian Technological University MIREA, 119454, Moscow, Russia

    A. A. Ivanov

  5. Representative Office, Airport Management Company Limited, Domodedovo Airport, 142015, Domodedovo, Moscow oblast, Russia

    N. A. Lezhneva

Authors
  1. A. V. Ivanov
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  2. V. Yu. Shishkin
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  3. D. V. Boikov
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  4. A. A. Ivanov
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  5. N. A. Lezhneva
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Correspondence to A. V. Ivanov.

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Translated by N. Semenova

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Ivanov, A.V., Shishkin, V.Y., Boikov, D.V. et al. Adaptive Algorithms for Information Processing in Navigation Complexes of Mobile Ground Objects. J. Commun. Technol. Electron. 66, 926–937 (2021). https://doi.org/10.1134/S1064226921080040

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  • DOI: https://doi.org/10.1134/S1064226921080040

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