Methods of ISI decreasing and their efficiency

Authors

  • Денис Михайлович Розенвассер Odessa National Academy of Telecommunications named after A.S. Popov Kovalska str.,1, Odessa, Ukraine, 65023, Ukraine
  • Сергій Васильович Коновалов Odessa National Academy of Telecommunications named after A.S. Popov Kovalska str.,1, Odessa, Ukraine, 65023, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2013.12753

Keywords:

Inter-symbol interference (ISI), signal-to-noise ratio (SNR), D-criterion, bit error probability, decision feedback equalizer

Abstract

Almost in any transmission systems, in wireless, wired and optical ones, occurs intersymbol interference (ISI). However, nowadays there is no systematic approach to the problem in reference literature, as well as comparison and estimation of different efficient methods application. This paper suggest the estimation fight ISI different methods elimination such as: guard interval, partial response, error-control code and others, based on criterium of minimum of bit-error probability. It is difficult to conclude which of these methods is to be considered the most effective, because each of them has both advantages and disadvantages, and the choice of one of them depends on the specific conditions, characteristics and requirements of the transmission system. Obtained results will allow us to conclude about most effective methods under different conditions

Author Biographies

Денис Михайлович Розенвассер, Odessa National Academy of Telecommunications named after A.S. Popov Kovalska str.,1, Odessa, Ukraine, 65023

Lecturer

Department of Telecommunication Theory named after A.G. Zyuko 

Сергій Васильович Коновалов, Odessa National Academy of Telecommunications named after A.S. Popov Kovalska str.,1, Odessa, Ukraine, 65023

Student

References

  1. Теория электрической связи [Текст]: учебное пособие / К.К. Васильев, В.А. Глушков, А.В. Дормидонтов, А.Г. Нестеренко; под общ. ред. К.К. Васильева. – Ульяновск: УлГТУ, 2008. – 452 с.
  2. Proakis, John G. Digital Communications [Text] / J.G. Proakis – 4th ed. – New York: McGraw-Hill, 2001. – 801 c.
  3. Sklar, Bernard. Digital Communications. Fundamentals & Applications [Text] / B.Sklar – 2nd edition – Prentice-Hall, 2001. – 1104 p.
  4. Langton, Charan. Partial Response signaling and Quadrature Partial Response (QPR) modulation. Tutorial 16 [Text] / C. Langton – Signal Processing and Simulation Newsletter, 2011.
  5. Сукачев, Э.А. Введение в теорию сигналов с управляемой межсимвольной интерференцией : Монография [Текст] / Э.А. Сукачев, П.А. Шкулипа – Одесса: ВМВ, 2011. – 200 с.
  6. Золотарев, В.В. Помехоустойчивое кодирование. Методы и алгоритмы. Справочник [Текст] / В. В. Золотарев, Г. В. Овечкин – М.: Горячая Линия-Телеком, 2004. – 126 с.
  7. Когновицкий, Л.В. Межсимвольная и межканальная интерференция в системах передачи цифровой информации [Текст] / Л.В. Когновицкий, Л.О. Ржига – М.: Изд-во МЭИ, 1998.
  8. Брескин, В.А. Спектральная эффективность линейного кода RZ [Текст] / В.А. Брескин, А.Д. Мазур, Д.М. Розенвассер // Наукові праці ОНАЗ ім. О.С.Попова. – Одеса, 2011. – №2.
  9. Breskin V.A. Effect of optical channel bandwidth on the immunity of NRZ and RZ linear codes / V.A. Breskin, A.D. Mazur, D.M. Rozenvasser // TCSET-2012 – Lviv-Slavske, Ukraine, 2012. – p. 365
  10. Tapp, T. L. Extended hamming and BCH soft decision decoders for mobile data applications [Text] / T. L. Tapp, A. A. Luna, X. Wang, S. B. Wicker // IEEE Transactions Communications. – 1999. – Vol. 47, no. 3. – p. 333–338.
  11. Брескин В.А. Увеличение пропускной способности оптического канала волоконно–оптической системы передачи [Текст] / В.А. Брескин, А.Д. Мазур, Д.М. Розенвассер // Электроника и связь. – Киев, 2012. – №6.
  12. Chen, S. Decision-feedback equalization using multiple-hyperplane partitioning for detecting ISI-corrupted M-ary PAM signals [Text] / S. Chen, L. Hanzo, B. Mulgrew // IEEE Transactions Communications. – 2001. – Vol. 49, no. 5. – p. 760–764.
  13. K.K. Vassiliev, V.A. Glushkov, A.V. Dormidontov, A.G. Nesterenko, Ed. K.K. Vasiliev. Teoriya elektricheskoy svyazi: uchebnoye posobiye [Theory of telecommunications: the manual]. Ulyanovsk: Ulyanovsk State Technical University, 2008. 452 p.
  14. Proakis John G. Digital Communications. 4th ed. New York: McGraw-Hill, 2001. 801 p.
  15. Sklar, Bernard. Digital Communications. Fundamentals & Applications. 2nd ed. Prentice-Hall, 2001. 1104 p.
  16. Langton Charan. Partial Response signaling and Quadrature Partial Response (QPR) modulation. Tutorial 16 – Signal Processing and Simulation Newsletter, 2011.
  17. Sukachev E.A., Shkulipa P.A. Vvedeniye v teoriyu signalov s upravlyayemoy mezhsimvolʹnoy interferentsiyey: Monografiya [Introduction to signal with controlled inter-symbol interference: Monograph]. Odessa, 2011. 200 p.
  18. Zolotarev V.V., Ovechkin G.V. Pomekhoustoychivoye kodirovaniye. Metody i algoritmy. Spravochnik [Error control coding. Methods and algorithms. Directory]. Moscow Hotline Telecom, 2004. 126 p.
  19. Kognovitsky L.V., Riha L.O. Mezhsimvolʹnaya i mezhkanalʹnaya interferentsiya v sistemakh peredachi tsifrovoy informatsii [Inter-symbol and inter-channel interference in the communications, digital media]. Moscow: Publishing House of the Moscow Power Engineering Institute, 1998.
  20. Breskin V.А., Mazur А.D., Rozenvasser D.М. Spectral efficiency of RZ linear code [Spektralʹnaya effektivnostʹ lineynogo koda RZ]. Naukoví pratsí ONAZ ím . O.S.Popova – Scientific papers ONAT named after Popov O.S, Odesa, 2011, №2.
  21. Breskin V.A., Mazur A.D., Rozenvasser D.M. Effect of optical channel bandwidth on the immunity of NRZ and RZ linear codes. TCSET-2012. Lviv-Slavske, Ukraine, 2012, p. 365
  22. Tapp T. L., Luna A. A., Wang X., Wicker S. B. Extended hamming and BCH soft decision decoders for mobile data applications. IEEE Transactions Communications, 1999, Vol. 47, no. 3, p. 333–338.
  23. Breskin V.А., Mazur А.D., Rozenvasser D.М. Increasing the capacity of the optical channel of fiber-optic transmission system [Uvelicheniye propusknoy sposobnosti opticheskogo kanala volokonno - opticheskoy sistemy peredachi]. Elektronika i svyazʹ – Electronics and Communications, Kyiv, 2012, №6.
  24. Chen S., Hanzo L., Mulgrew B. Decision-feedback equalization using multiple-hyperplane partitioning for detecting ISI-corrupted M-ary PAM signals. IEEE Transactions Communications, 2001, Vol. 49, no. 5, p. 760–764.

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Published

2013-04-25

How to Cite

Розенвассер, Д. М., & Коновалов, С. В. (2013). Methods of ISI decreasing and their efficiency. Eastern-European Journal of Enterprise Technologies, 2(10(62), 42–46. https://doi.org/10.15587/1729-4061.2013.12753

Issue

Vol. 2 No. 10(62) (2013): Applied information technologies

Section

Applied Information Technology

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Copyright (c) 2014 Денис Михайлович Розенвассер, Сергій Васильович Коновалов

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