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Journal Radioengineering №10 for 2024 г.
Article in number:
Determining Watterson model time delays using adaptive filters
DOI: 10.18127/j00338486-202410-01
UDC: 621.396.96
Authors:

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

Abstract:

Short radio waves have the property of being reflected from the ionosphere, which is why data transmission via HF communication channels can be carried out over many kilometers without additional transmitting devices. The use of broadband communication channels increases the data transmission speed, but at the same time leads to severe distortion of the received signal. Using the Watterson model, the HF communication channel was simulated in Matlab in the Simulink environment. For various possible values of the model parameters, least mean squares (LMS) equalizer algorithms were used to determine these coefficients.

Pages: 5-13
For citation

Kirillov A.S. Determining watterson model time delays using adaptive filters. Radiotekhnika. 2024. V. 88. № 10. P. 5−13. DOI: https://doi.org/10.18127/j00338486-202410-0 (In Russian)

References
  1. Watterson C.C., Juroshek J.R. and Bensema W.D. Experimental confirmation of an HF channel model. IEEE(R) Trans. commun. Technol. 1970. V. COM-18. № Dec. 6.
  2. Recommendation ITU-R F.1487, Testing of HF modems with bandwidths of up to about 12 kHz using ionospheric channel simulators. 2000. 
  3. Recommendation ITU-R F.520, Use of high frequency ionospheric channel simulators. 1992.
  4. Kirillov A.S. Machine learning algorithms for reception of a signal of digital radio lines. XV All-Russian Conference «Radiolocation and Radio Communication». Collection of works. Moscow. IRE im. V.A. Kotelnikov RAS. 2022.
  5. 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.
Date of receipt: 02.09.2024
Approved after review: 24.09.2024
Accepted for publication: 30.09.2024