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http://dx.doi.org/10.7236/JIIBC.2017.17.3.93

A Robustness Performance Improvement of QE-MMA Adaptive Equalization Algorithm based on Dithering  

Lim, Seung-Gag (Dept. of Information and Communication, Kongju National University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.17, no.3, 2017 , pp. 93-98 More about this Journal
Abstract
This paper relates with the robustness performance improvement of QE-MMA (Quantized Error-MMA) adaptive equalization algorithm based on the dithering in order to reduce the intersymbol interference by nonlinear distortion occurs at channel. The QE-MMA was appeared for the easiness of H/W implementation in place of multiplication to shifting in the tap coefficient updates applying the power-of-two operation to the magnitude of error signal in currently SE-MMA, it's performance were degraded by this. For improving it's performance, the proposed DQE-MMA adds the dither signal which has constant statistical characteristics in the prestage of power-of-two operation. It was confirmed by simulation that the DQE-MMA gives better robustness performance than current QE-MMA in the same channel and signal to noise ratio.
Keywords
QE-MMA; DQE-MMA; power-of-two arithmetic; residual isi; EMSE;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 J. Yang, J. J. Weren, G. A. Dumont, "The Multimodulus Blind Equalization Algorithm", 13th Int. Conf. D.S.P. Processing, pp. 127-130, 1997. DOI: https://doi.org/10.1109/TCOMM.205.855017
2 R.M.Gray, T.G.Stockham, "Dithered Quantizers", IEEE Trans. on Information Theory, Vol.39, No.3, pp. 805-812, May 1993. DOI: https://doi.org/10.1109/ISIT.1991.695075   DOI
3 Eweda E., "Convergence Analysis and Design of an Adaptive Filter with Finite-Bit Power-of-Two Quantized Error", IEEE Trans. on Circuit and Systems", Vol.39, No.2, pp. 113-115, Feb. 1992. DOI: https://doi.org/10.1109/82.205815   DOI
4 K. Banovic, R. Lee, E.A.Raheem, M.A.S.Khalid, "Computationally-Efficient Method for Blind Adaptive Equalization", 48th Middlewest Symp. on Circuits and Systems, Vol.1. pp. 341-344, 2005. DOI: https://doi.org/10.1109/MWSCAS.2005.154108
5 D.Brown, P.Schniter, J.C.R.Johnson, "Computationally Efficient Blind Equalization", Proc. Allerton Conf. on Communications, Control and Computing, Monticello, IL, pp. 54-63, Oct. 1997.
6 P.Schniter, C.R.Johnson, "Dithered Signed-Error CMA : Robust, Computationally Efficient Blind Adaptive Equalization" IEEE Trans. on Signal Processing, Vol.47, No.6, pp. 1592-1603, June 1999. DOI: https://doi.org/10.1109/78.765129   DOI
7 S. G. Lim, "Performance Improvement of MMA Adaptive Equalization Algorithm by using the Constellation Reduction in QAM Signal", Jour. on I.I.B.C., Vol.14, No.5, pp.103-109, Sep. 2014.
8 S. G. Lim, "The Performance Comparison of CR-CMA and CM-CMA Adaptive Equalization in 16-QAM Signal", Jour. on I.W.I.T., Vol. 11, No. 3, pp.115-120, June 2011.