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Determination of position and orientation of conducting rod using a neural network

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Abstract

The problem of electromagnetic wave diffraction by a conducting rod has been solved using the integral equation technique. The diagram of backward scattering has been plotted. A wavelet packet decomposition of the obtained characteristic has been carried out. Based on the values of Shannon entropy for decomposition components we have constructed the feature vector. We have trained a neural network based on radial basis elements, which allows one to determine the position of a rod and its spatial orientation based on the feature vector. Numerical simulation and statistical analysis of the numerical results have been carried out.

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Authors and Affiliations

  1. Dnipropetrovsk National University, Dnipropetrovsk, Ukraine

    D. Lyasota & V. M. Morozov

  2. Dneprodzerzhinsk State Technical University, Dneprodzerzhinsk, Ukraine

    A. Syanov

Authors
  1. D. Lyasota
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  2. V. M. Morozov
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  3. A. Syanov
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Corresponding author

Correspondence to V. M. Morozov.

Additional information

Original Russian Text © D. Lyasota, V.M. Morozov, A. Syanov, 2015, published in Izv. Vyssh. Uchebn. Zaved., Radioelektron., 2015, Vol. 58, No. 8, pp. 42–48.

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Lyasota, D., Morozov, V.M. & Syanov, A. Determination of position and orientation of conducting rod using a neural network. Radioelectron.Commun.Syst. 58, 371–377 (2015). https://doi.org/10.3103/S0735272715080051

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  • DOI: https://doi.org/10.3103/S0735272715080051

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