Research of Equalization Technology Based on Matlab

Author:

Wang Wen Bin1,Liu Dao Yuan1,Yao Yu Qin2

Affiliation:

1. Yalong River Hydropower Development Company, Ltd.

2. Chengdu University of Information Technology

Abstract

In the modern digital communication system, inter-symbol interference (ISI) caused by the imperfectness of the channel is a major factor that degrades the performance of communication. In order to decrease the influence of ISI and improve communication quality, people usually use equalization technology. Generally, channel response is changing over time, so the adaptive equalizer is necessary. This paper firstly introduced the theoretical foundation and realization method of the adaptive equalization system. Then discuss the LMS algorithm. Finally, the SIMULINK tool is used to build a communication system. The set of simulation results by observing the eye diagrams of the signals before and after equalization have validated the equalization effect.

Publisher

Trans Tech Publications, Ltd.

Reference5 articles.

1. SyUnji Nakahara, Masahirookano, MasayukiTakada, and Toru Kuroda. Blind Training of a Decision Feedback Equalizer. IEEE. (2008).

2. Jingnong Wang and Xiaodong Ju, Advances in Petroleum Geophysical Well Logging Technology, in Beijing: Petroleum Industry Press, 2006: (Preface).

3. John G. Proakis, «Digital Communication» . Publishing house of electronics industry, 2003. 1.

4. K. K. Parhi, VLSI Signal Processing Systems: Design and Implementation, Wiley.

5. S. Ariyavisitakul, L. J. Greenstein. Reduced-complexity equalization techniques for broadband wireless channels. IEEE J. Select. Areas Communication. (1997).

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