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A Neural Network Simulator of a Nonstationary Medium in an Adaptive Data Transmission System

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Abstract

A new method of optimization of the data transmission channel is described that is based on the use of a neural network simulator of a nonstationary physical medium. Experiments showed that, in cases of a low signal to noise ratio, the proposed method allows the reception error probability to be reduced to a level corresponding to the binary phase shift keying.

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Funding

This investigation was supported in part by the Russian Science Foundation, project no. 18-79-00080.

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Authors and Affiliations

  1. Volgograd State University, 400062, Volgograd, Russia

    A. A. Nevzorov, A. A. Orlov & D. A. Stankevich

Authors
  1. A. A. Nevzorov
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  2. A. A. Orlov
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  3. D. A. Stankevich
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Corresponding author

Correspondence to A. A. Nevzorov.

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The authors declare that they have no conflict of interest.

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Translated by P. Pozdeev

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Nevzorov, A.A., Orlov, A.A. & Stankevich, D.A. A Neural Network Simulator of a Nonstationary Medium in an Adaptive Data Transmission System. Tech. Phys. Lett. 45, 694–696 (2019). https://doi.org/10.1134/S1063785019070241

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  • DOI: https://doi.org/10.1134/S1063785019070241

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