Equalization network

Authors

  • Omar Masoud Salih Computer Department, Faculty of Science, Sirt University, Libya.
  • Naiema yahya Computer Department, Faculty of Science, Sirt University, Libya.

Keywords:

Equalization, Demodulation, Error-correction, Inter-Symbol Interference (ISI)

Abstract

The primary objective of this paper is to provide the requirements the network to equalize a signal and then send it without using demodulation or error-correction. Where the objective of the equalizer is to separate out the multiple paths and provide a clean, distortion free. This is one of the practical applications for adaptive processes for equalization.

Most communications systems have three processes at the receiver; equalization, demodulation and error-correction. The equalization process remove Inter-Symbol Interference (ISI) caused by the channel from a sequence of symbols. To compensate corruptions caused by ISI and to find the original information transmitted, equalization process performed at the receiver. Equalization refers to any signal processing techniques used at the receiver to combat ISI in depressive channels in the presence of additive. Equalizing filters must cancel out any group delay and phase delay between different frequency components.

References

Ryanb . Casey, B.S.E.E., M.S.E.E, “ Blind Equalization of an HF channel for a passive listening system” , electrical engineering , Faculty of Texas Tech University, 05/08/2020..

Anant Sahai, Ed. John Wawrzynek, Ed. Laura Brink, “Deep Networks for Equalization in Communications”, Electrical Engineering and Computer Sciences University of California at Berkeley, December 14, 2018.

Diana Brinaru, “Passive Equalization Networks—Efficient Synthesis Approach for High-Speed Signal Integrity Characterization”, Faculty of Electronics, Telecommunications and Information Technology, University POLITEHNICA of Bucharest, 2021.

Amiya Kumar Tripathy, Raghavendra K T “An efficient channel equalizer using artificial neural networks “, Don Bosco Institute of Technology, · January 2006.

Traitement du Signal S5 Convolution et Filtrage by V. Choqueuse Département Electronique, ENIB

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Published

2023-01-21