JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Performance Evaluation of a Dual-Mode Blind Equalization Algorithm Using the Size of Decision-Directed Error Signal for High-Order QAM Signals
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Performance Evaluation of a Dual-Mode Blind Equalization Algorithm Using the Size of Decision-Directed Error Signal for High-Order QAM Signals
Jeong, Young-Hwa;
  PDF(new window)
 Abstract
In this paper, we propose a dual-mode blind equalization algorithm that two of the blind equalization algorithm using the size of the decision-directed error signal is automatically switched. The proposed algorithm has a faster convergence speed due to operation of the MSAGF-SMMA with large fixed step-size mainly in the initial equalization. After the equalization has been made to some extent, the proposed algorithm has a smaller residual error in the steady- state by operation of the MSAGF-SMMA with a variable step-size mainly. The variable step-size is determined by multiplying the size of the decision-directed error signal of a fixed step-size. In this paper, we analyze the performance of the proposed algorithm. The computer simulation results demonstrate that the proposed algorithm has a significantly improved performance in terms of a residual inter-symbol interference and residual error in the steady-state compared with the MMA, SMMA, and MSAGF-SMMA.
 Keywords
MMA;MMA;SMMA;MSAGF-SMMA;dual-mode blind equalization;variable step-size;
 Language
Korean
 Cited by
 References
1.
D.N. Golard, "Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems," IEEE Trans, Commun., vol. COM-28, no. 11, pp. 1867-1875, Nov. 1980.

2.
J. Yang, J.-J. Werner and G. A. Dumont, "The Multimodulus Blind Equalization algorithm," in Proc. 13th Int. Conf Digital Signal Processing, vol. 1, pp. 127-130, July 1997.

3.
K.N. Oh and Y.O. Chin, "Modified Constant Modulus Algorithm: Blind Equalization and Carrier Phase Recovery Algorithm," Proc. 1995 IEEE Int. Conf. Comm., vol. 1, Seattle, WA, pp. 498-502, June 1995.

4.
S. Abrar, R.A. Axford, “Sliced Multi-modulus Blind Equalization Algorithm,” ETRI Journal, Vol. 27, No. 3, pp. 257-266, June 2005. crossref(new window)

5.
Y.H. Jeong, “Performance Analysis of SMMA Adaptive Blind Equalization Algorithm with A Flag,” JIIBC, Vol. 14, No. 4, pp. 71-76, Aug. 2014. crossref(new window)

6.
G. Picchi and G. Prati, "Blind Equalization and Carrier Recovery Using a "Stop-and-Go" Decision-Directed Algorithm," IEEE Trans. Commun., vol. COM-35, no.9, pp. 877-887, Sep. 1987.

7.
F. Hermann and A. K. N, "Blinde qualizationcombinations of Bussgang and higher-orderstatistics-based methods", Proc. IEE Colloq. Adaptive Signal Process. Mobile Commun. Syst., pp. 94, p. 12/1-6, 1997

8.
O. Shalvi and E. Weinstein, "New Criteria for Blind Deconvolution of Nonminimum Phase Systems(Channels)," IEEE Trans, Inform. Theory, vol. IT-36, pp. 312-321, Mar. 1990.

9.
S. Chen, T.B. Cook, and L.C. Anderso FIR equalizers," Digital Signal Processing, vol. 14, pp. 18-36, Jan. 2004 crossref(new window)

10.
S. G. Lim, "The Comparison of the Adaptive Equalization Performance in MCMA Algorithm by theWeighting Factor," The Journal of The Institute of Internet, Broadcasting and Communication(JIIBC), VOL. 10 No. 4, pp. 137-143, Aug. 2010.