Experimental performance estimation of adaptive neural network equalizer with regularization in multipath channels
- 1 Engineer-Programmer, Microwave Electronics LLC (Moscow)
- 2 Ph.D. (Phys.-Math.), Associate Professor, Faculty of Physics M.V.Lomonosov Moscow State University
- 3 Dr.Sc. (Phys.-Math.), Professor, Faculty of Physics M.V.Lomonosov Moscow State University
- 4 Deputy Technical Director, JSC «SPE «Radiosvyaz» (Krasnoyarsk)
- 5 Dr.Sc. (Eng.), General Director, JSC «SPE «Radiosvyaz» (Krasnoyarsk)
Abstract
In this paper, the neural network equalizer with learning based on gradient descent with regularization is investigated. The energy efficiency of the proposed equalizer’s modification is experimentally estimated in multipath channels with and without regularization.
How to cite
Валиуллин Д.Р., Захаров П.Н., Сысоев Н.Н., Фролов А.Н., Галеев Р.Г. Экспериментальные исследования адаптивного эквалайзера на основе нейронных сетей с регуляризацией в многолучевом канале // Успехи современной радиоэлектроники. 2018. № 12. С. 164–168. DOI: https://doi.org/10.18127/j20700784–201812–33
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