Noise-immunity of optimal symbol-by-symbol reception of signals with corrective coding in Galois fields for fading channels

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A description of the algorithm for optimal symbol-by-symbol reception of signal structures based on correction coding in non-binary Galois fields is given. The results of modeling this algorithm are given in order to study its noise-immunity for transionospheric channels with fading due to scattering on ionospheric irregularities for a number of digital signals with multi-level phase shift keying in combination with a correction code with a parity check in Galois fields. It is shown that for these channels the use of a symbol-by-symbol reception algorithm provides an energy gain of up to 4.5...24 dB in relation to the reception of signals without coding.

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L. Nazarov

Fryazino Branch Kotelnikov Institute of Radioengineering and Electronics RAS

Autor responsável pela correspondência
Email: levnaz2018@mail.ru
Rússia, Vvedenskogo Squar., 1 Fryazino, Moscow region, 141190

Bibliografia

  1. Proakis J.G., Salehi M. Digital communication. Boston: McGraw-Hill, Higher Education, 2001.
  2. Bahl L.R., Cocke J., Jelinek F., Raviv J. // IEEE Trans. 1974. V. IT-20. № 3. P. 284.
  3. Смольянинов В.М., Назаров Л.Е. // РЭ. 1999. Т. 44. № 7. С. 838.
  4. Скляр Б. Цифровая связь. Теоретические основы и практическое применение. М.: ИД «Вильямс», 2003.
  5. Johnson S.J. Iterative Error Correction: Turbo, Low-Density Parity-Check and Repeat-Accumulate Codes. Cambridge: Univ. Press, 2010.
  6. Назаров Л.Е., Головкин И.В. // РЭ. 2010. Т. 55. № 10. С. 1193.
  7. Терешонок М.В., Кленов Н.В., Лобов Е.М. и др. // РЭ. 2022. Т. 67. № 3. С. 294. https://doi.org/10.31857/S0033849422030160.
  8. Назаров Л.Е., Батанов В.В. // РЭ. 2022. Т. 67 № 8. С. 782. https://doi.org/ 10.31857/S0033849422080137.
  9. Ping Li, Chan S., Yeng K.L. // Electronic Lett. 1997. V. 33. № 19. P. 1614.
  10. Steiner F., Bocherer G., Liva G. // IEEE Comm. Lett. 2018. V. 22. № 11. P. 2210.
  11. Lin S.-J. // IEEE Trans. 2018. V. СOM-66. № 8. P. 3235.
  12. Назаров Л.Е. // РЭ. 2023. Т. 68. № 9. С. 873. http://doi.org/ 10.31857/S003384942309019X
  13. Bourduge J., Poulliat C., Gadat B. // 2023 IEEE Int. Symp. on Information Theory (ISIT). Taipei. 25-30 Jun. N.Y.: IEEE, 2023. P. 2517. https://doi.org/10.1109/ISIT54713.2023.10206851.
  14. Назаров Л.Е. // Физ. основы приборостроения. 2022. Т. 11. № 3. С. 44. https://doi.org/10.25210/jfop-2203-044049.
  15. Питерсон У., Уэлдон Э. Коды, исправляющие ошибки. М.: Мир, 1976.
  16. Назаров Л.Е., Шишкин П.В. // РЭ. 2019. Т. 64. № 9. С. 910.
  17. Назаров Л.Е., Шишкин П.В. // Журн. радиоэлектроники. 2018. № 12. http://jre.cplire.ru/jre/dec18/10/text.pdf
  18. Kaipa K. // IEEE Comm. Lett. 2018. V. 22. № 11. P. 2210.
  19. Yeo S., Park I.-C. // IEEE Trans. 2018. V. IT-64. № 7. P. 5170.
  20. Crane R.K. // Proc. IEEE. 1977. V. 65. № 2. P. 180.
  21. Rino C.L. Theory of Scintillation with Applications in Remote Sensing. Hoboken: John Wiley & Sons, 2011.
  22. Ionospheric Propagation Data and Prediction Methods Required for the Design of Satellite Services and Systems. Recommendation ITU-R P.531-11. Geneva: Int. Telecommun. Union (ITU), 2012. 24 p.
  23. Назаров Л.Е., Смирнов В.М. // Журн. Радиоэлектроники 2020. № 11. http://jre.cplire.ru/jre/nov20/7/text.pdf https://doi.org/10.30898/1684-1719.2020.11.7.
  24. Назаров Л.Е., Батанов В.В. // РЭ. 2022. Т. 67. № 11. С. 1133. https://doi.org/10.31857/S0033849422110110
  25. Тихонов В.И. Статистическая радиотехника. М.: Сов. радио, 1966.

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2. Fig. 1. Error probabilities Pb for FM-4 (curve 1), FM-8 (curve 2), FM-16 (curve 3) signals when propagating through the ABGS channel.

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3. Fig. 2. Error probabilities at reception of the signal design based on FM-4 signals for the channel with fading (parameter S4 = 0.3 (a) and 0.6 (b)): 1 - without coding; 2 - using a correction code in the GF field (22).

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4. Fig. 3. Error probabilities at reception of the signal design based on FM-8 signals for the channel with fading (parameter S4 = 0.3 (a) and 0.6 (b)): 1 - without coding; 2 - using a correction code in the GF field (23).

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5. Fig. 4. Error probabilities at reception of the signal design based on FM-16 signals for the channel with fading (parameter S4 = 0.3 (a) and 0.6 (b)): 1 - without coding; 2 - using a correction code in the GF field (24).

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