Browse > Article
http://dx.doi.org/10.7236/JIIBC.2015.15.1.139

A Performance Comparison of VSCA and VSDA Adaptive Equalization Algorithm using Distance Adjusted Approach in QAM Signal  

Lim, Seung Gag (Dept. of Information and Communication, Kongju National University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.15, no.1, 2015 , pp. 139-145 More about this Journal
Abstract
This paper compare the VSCA (Variable stepsize Square Contour Algorithm) and VSDA (Variable stepsize Square contour Decision directed Algorithm) adaptive equalization algorithm that is used for the minimization of the intersymbol interference which occurs in the time dispersive channel for the transmission of 16-QAM signal.. In the SCA, it is possible to compensates the amplitude and phase in the received signal that are mixed with the intersymbol interference by the constellatin dependent constant by using the 2nd order statistics of the transmitted signal. But in the VSCA and VSDA, it is possible to the improving the equalization performance by varing the stepsize using the concept of distance adjusted approach for constellation matching. We compare the performance of the VSCA and VSDA algorithm by the computer simulation. For this, the equalizer output signal constellation, residual isi, maximum distortion and MSE were used in the performace index. As a result of computer simulation, the VSCA algorithm has better than the VSDA in every performance index.
Keywords
SCA; VSDA; VSCA; maximum distortion; distance adjustment;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 D.N.Godard, "Self-recovering Equalization and carrier tracking in two-dimensional data comm. system", IEEE Trans. on Comm., Vol. 28, pp. 1867-1875, Nov. 1980.   DOI
2 A.T.Sheikh, S.A.Sheikh, "Efficient Variants of Square Contour Algorithm for Blind Equalization of QAM Signal", World Academy of Science, Eng. and Technology, pp.200-208, 2009.
3 L.He, M.G.Amin et al, "A Hybrid Adaptive Blind Equalization Algorithm for QAM Signals in Wire-less Communications", IEEE Trans. on Signal Proc., Vol.52, No.7, pp.2058-2069, July 2004.   DOI
4 K.Banovic, E.A.Rahleem, M.A.S.Khalid, "A Novel Radius-Adjusted Approach for Blind Adaptive Equalization", IEEE S.P.Letters, Vol.13, No.1, pp. 37-40, Jan. 2006.   DOI   ScienceOn
5 KH.Oh, "An Algorithm for Variable Step-Size Improving Steady-State Performance of Blind Equalization", Journal of K.I.I.T., Vol.9, No.10, pp. 43-48, Oct. 2011.
6 S.G.Lim, "Performance of VSCA Adaptive Equalization Alorithm for 16-QAM Signal", Jour. on I.W.I.T., Vo.13, No.4, pp.67-73, Aug. 2013.
7 S.G.Lim, "Performance Evaluation of VSDA Blind Equalization Algorithm for 16-QAM Signal", Jour. on I.W.I.T., Vol.14, No.1, Feb. 2014.
8 J.P.Chung, I.J.Kim, "Performance Analysis of Turbo Equalizer in Fading Channel", Journal of K.I.I.T., Vol.10, No.1, pp.91-96, Jan. 2012.
9 L.He, M.G.Amin, C.Reed, R.C.Malkemes, "A Hybrid Adaptive Blind Equalization Algorithm for QAM Signals in Wireless Communication", IEEE Trans. on S.P., Vol.52, No.7, pp.2058-2069, July 2004.   DOI