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Journal Radioengineering №5 for 2024 г.
Article in number:
Using cumulant analysis to recognize digital types of radio signal
Type of article: scientific article
DOI: https://doi.org/10.18127/j00338486-202405-04
UDC: 621.396.62
Authors:

V.K. Kurbanaliev1, M.V. Fesenko2, Yu.N. Gorbunov3

1-3 JSC “CNIRTI named after academician A.I. Berg” (Moscow, Russia)

1-3 post@cnirti.ru

Abstract:

Problem statement. Recognition of types of modulation of radio signals is an important task solved in radio engineering systems for various purposes. In radio monitoring tools, information about the type of modulation is used to identify unauthorized sources of radio emission and measure their parameters, in electronic warfare systems - when choosing a more effective type of interference, etc. The article substantiates the relevance of improving methods for recognizing digital types of modulation. It is shown that mixed cumulants of higher orders can be used as modulation features for recognizing types of modulation. Analytical expressions are given for calculating mixed cumulants up to the tenth order inclusive through the values of mixed moments and the value of mixed cumulants for radio signals with the most common types of digital modulation. Recommendations have been developed for the synthesis of algorithms for recognizing the type of modulation based on cumulant analysis.

Goal. Obtain mathematical expressions for calculating mixed cumulants up to the tenth order inclusive and determine the values of mixed cumulants to recognize the most common digital types of modulation.

Results. A general methodology has been developed for the synthesis of algorithms for recognizing the type of modulation based on cumulant analysis.

Practical significance. Application of the developed approach in the design of radio-electronic systems makes it possible to obtain a high probability of correct recognition of digital types of modulation with a relatively low design complexity.

Pages: 38-48
For citation

Kurbanaliev V.K., Fesenko M.V., Gorbunov Yu.N. Using cumulant analysis to recognize digital types of radio signal. Radiotekhnika. 2024. V. 88. № 5. P. 38−48. DOI: https://doi.org/10.18127/j00338486-202405-04 (In Russian)

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Date of receipt: 10.04.2024
Approved after review: 15.04.2024
Accepted for publication: 29.04.2024