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Cluster Variational-Selective Method of Passive Location for Triangulation Measuring Systems

  • Data Processing and Identification
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Abstract

Based on the mathematical apparatus of cluster and variational-selective analysis, we develop a new intellectual-analytic method for constructing an estimate of irradiating the target position for the case of significant a priori indeterminacy with respect to the functioning conditions of a triangulation measuring system. This method is an alternative to the known methods of maximal verisimilitude, minimal squares, and minimum of various geometric and cinematic discrepancies, applied traditionally for solving the passive location problem within the normal functioning conditions of the system. We provide the results of comparative analysis and practical recommendations for applying the method.

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Authors and Affiliations

  1. Russian Gradient Research Institute, Rostov-on-Don, Russia

    Yu. G. Bulychev

  2. AO Concern Radioelectronic Technologies, Moscow, Russia

    I. G. Nasenkov & E. N. Chepel

Authors
  1. Yu. G. Bulychev
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  2. I. G. Nasenkov
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  3. E. N. Chepel
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Correspondence to Yu. G. Bulychev.

Additional information

Original Russian Text © Yu.G. Bulychev, I.G. Nasenkov, E.N. Chepel, 2018, published in Izvestiya Akademii Nauk, Teoriya i Sistemy Upravleniya, 2018, No. 2, pp. 11–27.

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Bulychev, Y.G., Nasenkov, I.G. & Chepel, E.N. Cluster Variational-Selective Method of Passive Location for Triangulation Measuring Systems. J. Comput. Syst. Sci. Int. 57, 179–196 (2018). https://doi.org/10.1134/S1064230717060041

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  • DOI: https://doi.org/10.1134/S1064230717060041

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