Demodulation algorithms for Watterson communication channel with known parameters
- 1 PJSC “Radiofizika” (Moscow, Russia); Moscow Institute of Physics and Technology (National Research University) (Dolgoprudny, Russia)
Abstract
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.
- Received
- 12.03.2025
- Approved after review
- 17.03.2025
- Accepted
- 26.03.2025
How to cite
Кириллов А.С. Алгоритмы демодуляции для канала связи Ваттерсона с известными параметрами // Радиотехника. 2025. Т. 89. № 4. С. 44-51. DOI: https://doi.org/10.18127/j00338486-202504-04
References
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- Recommendation ITU-R F.520. Use of high frequency ionospheric channel simulators. 1992.
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- 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.