A.S. Kirillov1
1 PJSC “Radiofizika” (Moscow, Russia)
1 Moscow Institute of Physics and Technology (National Research University) (Dolgoprudny, Russia)
1 Andrey.kir1997@yandex.ru
Short radio waves can travel many kilometers by reflection from the ionosphere without using additional communication infrastructure. But modern tasks require high data transfer rates, which requires using a broadband communication channel. In such a communication channel, specific interference occurs, under which a conventional demodulator cannot cope with its task. Therefore, to receive signals, it is necessary to transform the classic demodulator, for example, using machine learning algorithms. A number of such algorithms were analyzed in this article.
Kirillov A.S. Demodulation algorithms for Watterson communication channel with known parameters. Radiotekhnika. 2025. V. 89. № 4.
P. 44−51. DOI: https://doi.org/10.18127/j00338486-202504-04 (In Russian)
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- Kirillov A.S. Opredelenie parametrov modeli Vattersona s pomoshh'ju adaptivnyh fil'trov. Radiotehnika. 2024. T. 88. № 10. S. 5-13. DOI: https://doi.org/10.18127/j00338486-202410-01 (in Russian).
- Kirillov A.S. Machine learning algorithms for signal demodulation and determination of HF communication channel parameters. IEEE Radiation and Scattering of Electromagnetic Waves (RSEMW). 2023. P. 268-271. DOI: 10.1109/RSEMW58451.2023.

