Browse > Article
http://dx.doi.org/10.7236/JIIBC.2013.13.4.127

Performance Comparison of the CCA Adaptive Equalization Algorithm based on Compact Slice Weighting Values in 16-QAM Signal  

Kang, Dae-Soo (Dept. of Information and Communication, Kongju National University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.13, no.4, 2013 , pp. 127-133 More about this Journal
Abstract
This paper compare the performance of CCA (Compact Constellation Algorithm) adaptive equalization algorithm by effect of the compact slice weighting value for minimization of the intersymbol interference in the communication channel. The CCA combines the conventional DDA and RCA algorithm, it uses the constant modulus of the transmission signal and the considering the output of decision device by the power of compact slice weighting value in order to improving the initial convergence characteristics and the equalization noise by misadjustment in the steady state. In this process, it is confirmed by computer simulation that the compact slice weight affects the performance of CCA adaptive equalization algorithm. The performance index includes the output signal constellation, the residual isi and maximum distortion and MSE that is for the convergence characteristics, the SER according to the signal and noise power ratio at the channel is used. As a result of computer, it shows that the large weighting value gives more good in every performance index. But in SER performance, it is known that the small values gives more good in low SNR and the large values gives more good in high SNR.
Keywords
CCA; DDA; RCA; residual isi; maximum distortion; constant modulus;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Y.Sato, "A Method of Self-Recovering Equalization for Multilevel Amplitude Modulation systems", IEEE Trans. Communication, Com-23, pp.679-682, June, 1975.
2 Shahid U.H.Qureshi, "Adaptive Equalization", Proc. of the IEEE, Vol.73, No.9, pp.1349-1387, 1985.   DOI   ScienceOn
3 E.Biglieri, A.Gersho, R.D.Gitlin, T.L.Lim, "Adaptive cancellation of nonlinear intersymbol interference for voiceband data transmission", IEEE J. Selected Area Com., vol.SAC-2, pp.765-777, Sept. 1984.
4 D.N.Godard, "Self-recovering Equalization and carrier tracking in two-dimensional data communication system", IEEE Trans. on Comm., Vol. 28, pp.1867-1875, Nov. 1980.   DOI
5 Shafayat Abrar, "Compact Constellation Algorithm for Blind Equalization of QAM Signals", International Networking & Communication Conf. 2004, pp.170-174, 2004.
6 J.T.Yuan, K.D.Tsai, "Analysis of the Multimodulus Blind Equalization Algorithm in QAM Communication Systems", IEEE Trans. on Com., Vol. 53, No.9, pp.1427-1431, September 2005.   DOI   ScienceOn
7 S.Abrar, R.A.Axford, "Sliced Multi-modulus Blind Equalization Algorithm", ETRI Journal, Vol. 27, No. 3, June 2005.   과학기술학회마을   DOI   ScienceOn
8 W.A.Sethares, G.A.Rey, JR.C.R.Johnson, "Approach to Blind Equalization of Signal with Multile Modulus", IEEE Proc. ICASSP, pp.972-975, Apr. 1989.
9 X.L.Li, W.J.Zeng, "Performance Analysis and Adaptive Newton Algorithms of Multimodulus Blind Equalization Criterion", Signal Processing, Vol. 89, pp.2263-2273, Nov. 2009.   DOI   ScienceOn
10 S.G.Lim, "The Performance Analysis of CCA Adap-tive Equalization Algorithm for 16-QAM Signal", Jour. of I.I.B.C., Vol. 13, No.1, pp.27-34, Feb. 2013.
11 K.N.Oh, "An Algorithm for Variable Step-Size Improving Steady-State Performance of Blind Equalization", Jour. of K.I.I.T., Vol. 9, No. 10, pp.43-48, Oct. 2011.