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Analytic Synthesis of a Kalman Adaptive Filter on the Basis of Irregular Precise Measurements

  • MEASUREMENTS IN INFORMATION TECHNOLOGIES
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Measurement Techniques Aims and scope

The problem of construction of an adaptive discrete Kalman filter is analytically solved with the use of irregular precise measurements. It is shown that the possibility of irregular precise measurements makes it possible to precisely determine the parameters of the filter (gain and adaptation factor) within the stage of their appearance and guarantees the error of estimation equal to zero. The indicated reconstruction of the parameters of the estimation algorithm significantly improves its convergence.

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Authors and Affiliations

  1. Rostov State Transport University (RGUPS), Rostov-on-Don, Russia

    S. V. Sokolov, M. V. Polyakova & P. A. Kucherenko

Authors
  1. S. V. Sokolov
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  2. M. V. Polyakova
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  3. P. A. Kucherenko
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Translated from Izmeritel’naya Tekhnika, No. 3, pp. 19–23, March, 2018.

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Sokolov, S.V., Polyakova, M.V. & Kucherenko, P.A. Analytic Synthesis of a Kalman Adaptive Filter on the Basis of Irregular Precise Measurements. Meas Tech 61, 232–237 (2018). https://doi.org/10.1007/s11018-018-1414-5

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  • DOI: https://doi.org/10.1007/s11018-018-1414-5

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