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http://dx.doi.org/10.7236/JIIBC.2013.13.1.19

The Performance Comparison of MMA and S-MMA Adaptive Equalization Algorithm for QAM Signal  

Kang, Dae-Soo (Dept. of Information and Communication, Kongju National University)
Lim, Seung-Gag (Dept. of Information and Communication, Kongju National University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.13, no.1, 2013 , pp. 19-26 More about this Journal
Abstract
This paper deals with the performance comparison of blind adaptive equalization algorithm, the MMA and S-MMA, that is used for compensation of the amplitude and phase distortion simultaneously which occurs in the time dispersive channel. The present CMA algorithm is possible to compensates the amplitude only, but not in phase, so it needs to the another additional circuit for compensating the phase. In order to overcoming the abovemensioned shorthand, the improved cost function is applied to the MMA algorithm. In MMA algorithm, the error is consists of the dispersion constant only, but in S-MMA, the error is consists of the dispersion constant considering the output of decision device (sliced symbol) in order to updating the tap coefficients. By using the two kind error signal, the adaptive equalization algorithm has different performance. In this paper, we compare to the adaptive equalization algorithm performance by using the recovered constellation, residual isi, MD (Maximum Distortion) and SER as a index when the transmitting signal is 16 and 64-QAM and then passing through the same communication channel. As a result of simulation, the S-MMA can improving the Roburstness in SER performance compared to the MMA in the high order QAM signal.
Keywords
MMA; S-MMA; dispersion constant; Maximum Distortion;
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  • Reference
1 S.A.Sheikh, P.Fan, "A New Multimodulus Blind Equalizer for Dense QAM Constellation", Int. Conf. on Wireless, Mobile & Multimedia Network, pp.1-4, 2006
2 S.Abrar, R.A.Axford, "Sliced Multi-modulus Blind Equalization Algorithm", ETRI Journal, Vol.27, No.3, pp.257-266, June 2005   DOI   ScienceOn
3 S.G.Lim, "The Performance Comparison of the CMA and MMA Algorithm for Blind Adaptive Equalization", Journal of I.W.I.T., Vol.12, No.2, pp.153-158, 2012
4 S.G.Lim, "The Performance Comparison of the MMA and SCA Algorithm for Self Adaptive Equalization", Journal of I.W.I.T., Vol.12, No.2, pp.159-165, April 2012
5 R.A.Axford Jr., L.B.Milstein, J.R.Zeidler, "The Transversal and Lattice Multiple Modulus Algorithms for Blind Equalization Of QAM Signals", Proc. IEEE MILCOM'95, pp.586-591, Vol.2, Nov. 1995
6 W.A.Sethares, G.A.Rey, C.R.Johnson, "Approaches to Blind Equalization of Signals with Multiple Modulus", Proc. IEEE ICASSP, pp.972-975, 1989
7 J.Yang, J.J.Werner, G.A.Dumont, "The Multimodulus Blind Equalization and Its Generalized Algorithms", IEEE Journal on S.A. in Comm., Vol.20, No.5, pp. 997-1015, June 2002   DOI   ScienceOn
8 J.Yang, J.J.Werner, G.A.Dumont, "The Multimodulus Multi-modulus Blind Equalization Algorithm", 13th Int. Conf. D.S.P. Processing, pp.127-130, 1997