Faculty of Physics
M.V. Lomonosov Moscow State University
Review Article

Methods for the automatic recognition of digital modulation of signals in cognitive radio systems

S.S. Adjemov$^1$, N.V. Klenov$^{1,2}$, M.V. Tereshonok$^1$, D.S. Chirov$^1$

Moscow University Physics Bulletin 2015. 15. N 6. P. 448

  • Article

This paper considers one of the problematic issues of creating radio systems based on cognitive radio technology, viz., automatic recognition of the digital-modulation formats of radio signals. In accordance with the recommendations of the E2R and the European Telecommunications Standards Institute (ETSI) consortium, cognitive radio systems have the ability to modulate/demodulate signals in all frequency bands and in all modes of modulation. This process should be performed automatically, according to the current technical capabilities of the available communication system, the requirements for the quality of communication, and different external conditions. This article provides an analysis of the promising methods of automatic recognition of digitally modulated radio signal formats, viz., using the shape of the phase constellation, using the distribution difference of instantaneous phases, and using high-order cumulants. According to the results of the analysis, we propose methods of recognition that are based on cumulant analysis for cognitive radio systems. It is proposed that the decision-making device be an artificial neural network.

Received: 2015 June 24
Approved: 2016 January 22
07.05.Mh Neural networks, fuzzy logic, artificial intelligence
84.40.Ua Telecommunications: signal transmission and processing; communication satellites
84.35.+i Neural networks
Rissian citation:
С.С. Аджемов, Н.В. Кленов, М.В. Терешонок, Д.С. Чиров.
Методы распознавания видов цифровой модуляции сигналов в когнитивных радиосистемах.
Вестн. Моск. ун-та. Сер. 3. Физ. Астрон. 2015. № 6. С. 19.
S.S. Adjemov$^1$, N.V. Klenov$^{1,2}$, M.V. Tereshonok$^1$, D.S. Chirov$^1$
$^1$Moscow Technical University of Communications and Informatics (MTUCI), ul. Aviamotornaya 8a, Moscow, 111024 Russia
$^2$Department of Physics, Moscow State University, Moscow, 119991 Russia
Issue 6, 2015

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