M.V. Fesenko1, N.P. Kolesnikov2, N.K. Pastukh3, V.K. Kurbanaliev4

1-4 JSC “CNIRTI named after academician A.I. Berg” (Moscow, Russia)

1-4 post@cnirti.ru

Problem statement. One of the pressing challenges addressed in modern radio monitoring and electronic warfare systems is recognizing digital modulation patterns in radio signals. A significant challenge in developing and implementing appropriate algorithms is their verification under conditions that closely resemble real-world electronic warfare environments. Conducting full-scale experiments is often difficult or economically impractical, necessitating the development of specialized modeling tools. Modeling radio monitoring conditions requires considering a range of factors affecting the characteristics of the received signal, including quantization noise in analog-to-digital converters, phase and amplitude distortions in signal generation and transmission paths, and the effects of various types of interference. This paper examines an approach to modeling radio monitoring conditions designed to investigate algorithms for recognizing digital modulation patterns based on cumulant analysis of signal statistics.

Goal. Verification of digital signal modulation recognition algorithms based on high-order cumulants by simulating radio monitoring conditions similar to real-world electronic environments.

Results. A hardware and software package for simulating radio monitoring conditions has been developed. This package enables the generation of signals with various types of digital modulation, taking into account the characteristics of real radio engineering paths and interference environments. The proposed package enables the verification of modulation recognition algorithms based on cumulant analysis, comparative studies of signal processing methods, and the generation of datasets for conducting semi-naturalistic experiments.

Practical relevance. The developed hardware and software complex can be used in the creation and research of digital signal processing algorithms in radiomonitoring and electronic warfare systems, for the calibration and testing of radio equipment, as well as in educational and research tasks for training specialists in the field of radio surveillance systems and signal analysis.

Fesenko M.V., Kolesnikov N.P., Pastukh N.K., Kurbanaliev V.K. Modeling of radiomonitoring conditions for verification of digital modulation recognition algorithms based on cumulant analysis. Radiotekhnika. 2026. V. 90. № 5. P. 96−101. DOI: https://doi.org/10.18127/j00338486-202605-12 (In Russian)

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