350 rub
Journal Achievements of Modern Radioelectronics №12 for 2018 г.
Article in number:
Experimental performance estimation of adaptive neural network equalizer with regularization in multipath channels
Type of article: scientific article
DOI: 10.18127/j20700784–201812–33
UDC: 004.032.26
Keywords: inter-symbol interference multipath channel equalizer neural network regularization.
Authors:

D.R. Valiullin – Engineer-Programmer, Microwave Electronics LLC (Moscow)

E-mail: vdr91@mail.ru

P.N. Zakharov – Ph.D. (Phys.-Math.), Associate Professor, Faculty of Physics M.V.Lomonosov Moscow State University E-mail: zakharov1@mail.ru

N.N. Sysoev – Dr.Sc. (Phys.-Math.), Professor, Faculty of Physics M.V.Lomonosov Moscow State University E-mail: nn.sysoev@physics.msu.ru

А.N. Frolov – Deputy Technical Director, JSC «SPE «Radiosvyaz» (Krasnoyarsk)

E-mail: engineer_f@mail.ru

R.G. Galeev – Dr.Sc. (Eng.), General Director, JSC «SPE «Radiosvyaz» (Krasnoyarsk) E-mail: KRTZ@mail.ru

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.

Pages: 164-168
References
  1. Myburgh H.S., Olivier J.C. Near-optimal low complexity MLSE equalization // IEEE. Wireless Communications and Networking Conference. 2008. P. 226–230.
  2. Valiullin D.R., Zaharov P.N. Ekvalajzer na osnove nejronnyh setej s obucheniem v mnogoluchevom kanale // Uspehi sovre-mennoj radioelektroniki. 2016. № 11. S. 200–202.
  3. Valiullin D.R., Zaharov P.N. Eksperimental'nye issledovaniya ekvalajzera na osnove nejronnyh setej s obucheniem v mnogoluchevom radiokanale // Zhurnal radioelektroniki. 2017. № 12.
  4. Dzh. Prokis Cifrovaya svyaz': Per. s angl. M.: Radio i svyaz'. 2000.
Date of receipt: 15 ноября 2018 г.