V.K. Kurbanaliev1, M.V. Fesenko2

1,2 JSC “CNIRTI named after academician A.I. Berg” (Moscow, Russia)

1,2 post@cnirti.ru

Problem statement. The recognition of types of radio signal modulation is a significant task that is being solved in radio engineering systems of various applications. The article substantiates the relevance of creating a twin module for recognizing types of digital radio signal modulation.

Goal. Creation creation and implementation of a digital twin module for recognizing types of digital modulation of radio signals based on their statistical characteristics

Results. A digital twin of the digital signal modulation type recognition module based on cumulative analysis has been developed.

Practical significance. The developed algorithm for the dynamic formation of a training sample in the process of real operation eliminates the need for manual training of models when conditions change. The architecture of the adaptive cumulative analyzer makes it possible to optimize the selection of features depending on the noise level, modulation, and other factors affecting reception.

Kurbanaliev V.K., Fesenko M.V. Implementation of the digital twin of the module for recognizing types of digital modulation of radio signals. Radiotekhnika. 2025. V. 89. № 5. P. 105−112. DOI: https://doi.org/10.18127/j00338486-202505-11 (In Russian)

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