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The Comparison of the Adaptive Equalization Performance in MCMA Algorithm by the Weighting Factor  

Lim, Seung-Gag (Kongju National University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.10, no.4, 2010 , pp. 137-143 More about this Journal
Abstract
This paper deals with the performance comparison of self adaptive equalizer by the weighting factor of MCMA cost function for the compensate the amplitude and phase distortion which occurs in the communication channel. The MCMA is improves the cost function of present CMA at the output of equalizer for the minimize of error function in the amplitude and phase, the value of weighting factor is used at this time. When the comparison of equalizer performance, we classified to initial state and steady state, then it represents the convergence time and convergence speed and steady state operation of equalizer to the predetermined level, it is determined by the weighting factor. We confirm to the different result to this 2 state by weighting factor values using computer simulation. By using the result of this paper, if we appropriately choose the weighting factor values in the environment of communication channel, it is expected that the high quality digital transmission is possible.
Keywords
MCMA; Weighting factor; Residual ISI;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 J.R.Treichler, B.G.Agee, "A new approach to multipath correction of constant modulus signals", IEEE Trans. Acoust., Speech, Signal Processing, vol.ASSP-31, pp.459-472, April 1983
2 K.Banovic, E.Abdel-Raheem, M.A..S.Khalid, "A novel radius adjusted approach to blind adaptive equalization", IEEE Signal Porcessing Lett., Vol.13, No.1, pp.37-40, Jan. 2006   DOI
3 T.H.Li, K.Mbarek, "A blind equalization for nonstationary discrete-valued signals", IEEE Trans. Signal Processing, Vol.45, pp.247-254, Jan. 1997   DOI   ScienceOn
4 이종현, 임승각, "OFDMA 기반 Wibro 중계국에서 루프 간섭 제거 및 적응 등화기를 이용한 성능 개선에 관한 연구", 대한전자공학회 논문지, 제43권, TC편, 제11호, pp.1402-1409, 2006
5 S.Haykin, Adaptive Filter Theory, 2nd Edition, Prentice Hall, 1991
6 A.L.Sayed, Fundamentals of Adaptive Filtering, Wiley-Interscience, 2003
7 임승각, 강대수, "Constellation Matching 기법을 이용한 CMA 블라인드 적응 등화기의 성능 개선", 한국인터넷방송통신학회 논문지, No.10, Vol.1, pp.121-127, 2월 2010년
8 L. He, M.G.Amin, C.R.Jr, R.C.Malkemes, "A hybrid adaptive blined equalization algorithm for QAM signals in wireless communication", IEEE Trans. on signal processing, Vol.52, No.7, pp.2058-2069, July 2004   DOI   ScienceOn
9 L.He, S.A.Kassam, "Convergence analysis of blind equalization algorithms using constellation matching", IEEE Trans. on Com., Vol.56, No.11, pp.1765-1768, Nov. 2008   DOI
10 L.M.Garth, "A dynamic convergence analysis of blind equalization algorithms", IEEE Trans. Com., Vol.49, No.4, pp.624-634, Apr. 2001   DOI   ScienceOn
11 J. Yang, J.J.Werner, G.A.Dumont, "The multimodulus bline equalization and its generalized algorithms", IEEE J. on Selected Areas in Com., Vol.20, No.5, pp.997-1015, June 2002   DOI   ScienceOn