Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Siberian Conference on Control and Communications, SIBCON 2019; Tomsk; Tomsk

Год издания: 2019

Ключевые слова: convolutional neural network, Non-linear filtering, Through-the-earth mine communications

Аннотация: Classical methods of FM demodulation used in through-the-earth mine communications rely heavily on an assumption of Gaussian random noise. Such assumption ignores many possible non-linear effects which may affect signal-to-noise ratio at the receiver and lead to increase in bit error. We propose a simple technique based on convolutional neural network which is robust to possible non-linear effects. Our field study demonstrates that such effects do occur in through-the-earth communications and that the distorted signal at the receiver can still be demodulated with reasonably low bit error rate.

Журнал: 2019 International Siberian Conference on Control and Communications, SIBCON 2019 - Proceedings

Номера страниц: 8729559

Издатель: Institute of Electrical and Electronics Engineers Inc.

• Kudinov M. (Dorodnicyn Computing Centre,Federal Research Center 'Computer Science and Control')
• Kudinov D. (Institute of Radio Technology,Siberian Federal University)
• Kokhonkova E. (Military Engineering Institute,Siberian Federal University)

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