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Suboptimal algorithms for identification of navigation sensor errors described by Markov process

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Abstract

The paper discusses the algorithms identifying the parameters of Markov process correlation function based on maximum likelihood function method, least squares method, and approximation of sample characteristics. The algorithms are compared with the algorithms based on Bayesian approach.

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Authors and Affiliations

  1. Concern CSRI Elektropribor, JSC, St. Petersburg, Russia

    V. A. Tupysev, N. D. Kruglova & A. V. Motorin

  2. ITMO University, St. Petersburg, Russia

    A. V. Motorin

Authors
  1. V. A. Tupysev
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  2. N. D. Kruglova
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  3. A. V. Motorin
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Corresponding author

Correspondence to V. A. Tupysev.

Additional information

Original Russian Text © V.A. Tupysev, N.D. Kruglova, A.V. Motorin, 2016, published in Giroskopiya i Navigatsiya, 2016, No. 3, pp. 55–62.

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Tupysev, V.A., Kruglova, N.D. & Motorin, A.V. Suboptimal algorithms for identification of navigation sensor errors described by Markov process. Gyroscopy Navig. 8, 58–62 (2017). https://doi.org/10.1134/S2075108717010084

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