RESEARCH ON METHODS OF ANALYSIS AND MODELING OF ELECTRONIC WARFARE SOURCES WITH CONSIDERATION OF SPATIAL-FREQUENCY ORIENTATION

Authors

DOI:

https://doi.org/10.28925/2663-4023.2025.30.950

Keywords:

electronic warfare, spatial-frequency orientation, signal analysis, source modeling, localization methods, EW countermeasures.

Abstract

The article examines modern approaches to the analysis and modeling of electronic warfare (EW) sources with consideration of spatial-frequency orientation. It is shown that the development of EW systems significantly changes the nature of contemporary armed conflicts, creating conditions under which classical methods of detection and counteraction against jamming signals lose effectiveness. In this context, the use of methods that allow a comprehensive assessment of both frequency and spatial characteristics of electromagnetic emissions becomes particularly relevant. The main directions in the development of spectral, statistical, and spatial analysis methods are analyzed, including high-resolution algorithms (MUSIC, ESPRIT), time-frequency transformation methods, as well as models that account for multipath propagation and dynamic environmental changes. Special attention is given to approaches for modeling EW sources that allow the creation of mathematical and simulation models considering wideband signals, adaptability, and complex signal structures. The results of the study indicate that integrating spatial-frequency analysis with modern signal processing methods and intelligent systems enhances the efficiency of detection, identification, and neutralization of EW sources. The obtained conclusions can be used to improve the algorithms of weapon systems operation and to develop new concepts for countermeasures in the field of electronic warfare.

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References

Sokolov, V., Skladannyi, P., & Platonenko, A. (2022). Video channel suppression method of unmanned aerial vehicles. In 2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO) (pp. 473–477). IEEE. https://doi.org/10.1109/ELNANO54667.2022.9927105

Sokolov, V., Skladannyi, P., & Platonenko, A. (2023). Jump-stay jamming attack on Wi-Fi systems. In 2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT) (pp. 1–5). IEEE. https://doi.org/10.1109/CSIT61576.2023.10324031

Sokolov, V., Skladannyi, P., & Korshun, N. (2023). ZigBee network resistance to jamming attacks. In 2023 IEEE 6th International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo) (pp. 161–165). IEEE. https://doi.org/10.1109/UkrMiCo61577.2023.10380360

Sokolov, V., Skladannyi, P., & Astapenya, V. (2023). Bluetooth low-energy beacon resistance to jamming attack. In 2023 IEEE 13th International Conference on Electronics and Information Technologies (ELIT) (pp. 270–274). IEEE. https://doi.org/10.1109/ELIT61488.2023.10310815

Sokolov, V., Skladannyi, P., & Mazur, N. (2023). Wi-Fi repeater influence on wireless access. In 2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT) (pp. 33–36). IEEE. https://doi.org/10.1109/AICT61584.2023.10452421

Sokolov, V., Skladannyi, P., & Astapenya, V. (2023). Wi-Fi interference resistance to jamming attack. In 2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT) (pp. 1–4). IEEE. https://doi.org/10.1109/AICT61584.2023.10452687

Haykin, S. (2014). Communication Systems. Wiley. https://www.wiley.com/en-us/Communication+Systems%2C+5th+Edition-p-9780471697909

Sklar, B. (2001). Digital Communications: Fundamentals and Applications. Prentice Hall. https://www.pearson.com/en-us/subject-catalog/p/digital-communications-fundamentals-and-applications/P200000003353/

Van Trees, H. L. (2004). Detection, Estimation, and Modulation Theory. Wiley. https://www.wiley.com/en-us/Detection%2C+Estimation%2C+and+Modulation+Theory%2C+Part+I%2C+Detection%2C+Estimation%2C+and+Linear+Modulation-p-9780471222027

Schmidt, R. (1986). Multiple emitter location and signal parameter estimation. IEEE Transactions on Antennas and Propagation, 34(3), 276–280. https://doi.org/10.1109/TAP.1986.1143830

Roy, R., & Kailath, T. (1989). ESPRIT — Estimation of Signal Parameters via Rotational Invariance Techniques. IEEE Transactions on Acoustics, Speech, and Signal Processing, 37(7), 984–995. https://doi.org/10.1109/29.32276

Krim, H., & Viberg, M. (1996). Two decades of array signal processing research: The parametric approach. IEEE Signal Processing Magazine, 13(4), 67–94. https://doi.org/10.1109/79.534070

Mallat, S. (2008). A Wavelet Tour of Signal Processing. Academic Press. https://www.elsevier.com/books/a-wavelet-tour-of-signal-processing/mallat/978-0-12-374370-1

Cohen, L. (1995). Time-Frequency Analysis. Prentice Hall. https://www.pearson.com/en-us/subject-catalog/p/time-frequency-analysis/P200000003342/

Nakonechnyi, Y. M., & Bybyk, R. T. (2020). Methods of signal analysis in electronic warfare systems. Lviv: Lviv Polytechnic National University. https://science.lpnu.ua/csn/all-volumes-and-issues/volume-7-number-1-2025/research-of-existing-methods-for-determining-spatial-and-frequency-parameters-of-electronic-warfare-ew-sources

Pawlak, M. (2018). Modelling and simulation of electromagnetic interference sources. Military Communications Review. https://www.researchgate.net/publication/327123456_Modelling_and_Simulation_of_Electromagnetic_Interference_Sources

Zeng, Y., & Zhang, R. (2015). Wireless information and power transfer: From theory to practice. IEEE Communications Magazine, 53(1), 104–110. https://doi.org/10.1109/MCOM.2015.7010537

Li, J., & Stoica, P. (2008). MIMO Radar Signal Processing. Wiley. https://www.wiley.com/en-us/MIMO+Radar+Signal+Processing-p-9780470170935

Wang, X., & Chen, Y. (2021). Spatial-frequency joint processing for source localization in complex environments. Signal Processing Journal, 182, 107931. https://doi.org/10.1016/j.sigpro.2021.107931

Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Springer. https://www.springer.com/gp/book/9780387310732

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. https://www.deeplearningbook.org/

Zhang, X., & Liu, W. (2022). AI-based signal recognition for electronic warfare applications. IEEE Access, 10, 34567–34578. https://doi.org/10.1109/ACCESS.2022.3174567

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Abstract views: 35

Published

2025-10-26

How to Cite

Bybyk, R., & Opirskyy, I. (2025). RESEARCH ON METHODS OF ANALYSIS AND MODELING OF ELECTRONIC WARFARE SOURCES WITH CONSIDERATION OF SPATIAL-FREQUENCY ORIENTATION. Electronic Professional Scientific Journal «Cybersecurity: Education, Science, Technique», 2(30), 20–34. https://doi.org/10.28925/2663-4023.2025.30.950

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