Browse > Article
http://dx.doi.org/10.3745/KIPSTC.2006.13C.3.369

A Study on the Performance improvement of TEA adaptive equalizer using Precoding  

Lim Seung-Gag (공주대학교 공과대학 정보통신공학부)
Abstract
This paper related with the performance improvement of adaptive equalizer that is a based on the tricepstrum eqalization algorithm by using the received signal. Adaptive equalizer used for the improvement of communication performance, like as high speed, maintain of synchronization, BER, at the receive side in the environment of communication channel of the presence of the aditive noise, phase distortion and frequency selective fading, mainly. It's characteristics are nearly same as the inverse characterstics of the communication channel. In this paper, the TEA algorithm using the HOS and the 16-QAM which is 2-dimensional signaling method for being considered signal was used. For the precoding of 16-QAM singnal in the assignment of the signal costellation, Gray code was used, and the improvement of performance was gained by computer simulation in the residual intersymbol interence and mean squared error which is representive measurement of adaptive equalizer.
Keywords
HOS(High Order Statistics); TEA; Adaptive Equalizer; RISI(Residual InterSymbol Interference);
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. Zhu, X. R. Cao, R. W. Liu, 'A Blind Fractionnal Spaced Equalizer Using High Order Statistics,' IEEE Trans. on Circuits and Systems-Z, Vol.46, No.6. June. 1999
2 M. Lzazro, I. Santamaria et. al, 'Stochastic Blind Equalization Based on PDF Fitting Using Parzen Estimator,' IEEE Trans. on Signal Processing, Vol.53, No.2, Feb. 2005   DOI   ScienceOn
3 A. A. Farid, Z. Q. Luo, Z. Ding, 'Blind Channel Equalization Based on Second Order Statistics,' ICASSP, pp.3-557-3-560, 2005   DOI
4 J. Namiki, 'An Automatically Controlled Predistorter for Multilevel QAM,' IEEE Trans. on COM., Vol.31, No.5, pp.707 -712, May. 1993
5 M. D. Benedetto, P. Mandarini, 'A New Analog Predistortion Criterion with Application to High Efficiency Digital Radio Link,' IEEE Trans. on COM, Vol.43, No. 12, pp.2966-2974, Dec. 1995   DOI   ScienceOn
6 강창언, '디지털 통신 입문', 복두출판사, 1996
7 A. P. Petropuou, 'High-order Spectra Analysis- A Nonlinear Signal Processing Framework,' Prentice Hall Internation Ed., 1993
8 C. A. Belfore, J. H. Park, 'Decision Feedback Equalization,' Proc. IEEE, Vol.67, No.8, pp.1143-1156, Aug. 1979   DOI   ScienceOn
9 D. Hatzinakos, C. L. Nikias, 'Blind Equalization Using a Tricepstrum Based Algorithm,' IEEE Trans. on COM., Vol.39, No.5, pp.669-681, May. 1991   DOI   ScienceOn
10 A. G. Bessios, C. L. Nikias, 'POTEA : The Power Cepstrurn and Tricoherence Equalization Algorithm,' IEEE Trans. on COM., Vol.43, No. 11, pp.2667-2671, Nov. 1995   DOI   ScienceOn
11 Y. Sato, 'A Method of self-recover in equalization for Multilevel Amplitude Modulation Systems,' IEEE Trans. on COM., Vol.23, pp.679-682, 1975   DOI
12 W. H. Gerstacker, R. Schober, 'Equlization Concepts for EDGE,' IEEE Trans. on Wireless Communications, Vol.1, No.1, Jan. 2002   DOI