JOURNAL BROWSE
Search
Advanced SearchSearch Tips
An Adaptive Blind Equalizer Using Gaussian Two-Cluster Model
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
An Adaptive Blind Equalizer Using Gaussian Two-Cluster Model
Oh, Kil-Nam;
  PDF(new window)
 Abstract
In this paper, blind equalization technique using Gaussian two-cluster model is proposed. The proposed approach, by modeling the received M-QAM signals as Gaussian distributed two-cluster, minimizes the computational complexity and enhances the reliability of the signal estimates. In addition, by using a nonlinear estimator with variable parameters to estimate the transmitted signal, and by selectively applying the reduced constellation and the original constellation when estimating the signals, the reliability of the signal estimation was further improved. As a result, the proposed approach has improved the performance while reducing the complexity of the equalizer. Through computer simulations for blind equalization of higher-order signals of 64-QAM, it was confirmed that the proposed method showed better performance than traditional approaches.
 Keywords
Gaussian two-cluster model;Nonlinear estimator;Reduced constellation;QAM;
 Language
Korean
 Cited by
 References
1.
R. Lopez-Valcarce and F. Perez-Gonzalez, "Efficient reinitialization of the prewhitened constant modulus algorithm," IEEE Commun., Letters, vol. 5, no. 12, pp. 488-490, Dec. 2001. crossref(new window)

2.
S. Haykin, Adaptive filter theory, 4th Ed., Prentice Hall, New Jersey, 2002.

3.
Y.-H. Kim and S. Shamsunder, "Adaptive algorithms for channel equalization with soft decision feedback," IEEE J. Select. Areas Commun., vol. 16, no. 9, pp. 1660-1669, Dec. 1998. crossref(new window)

4.
O. Macchi and E. Eweda, "Convergence analysis of self-adaptive equalizers," IEEE Trans. Inform. Theory, vol. 30, pp. 161-176, Mar. 1984. crossref(new window)

5.
J. Karaoguz, "A generalized decision-directed blind equalization algorithm applied to equalization of multipath Rayleigh fading mobile communication channels," Ph.D. Dissertation, North Carolina State Univ., 1992.

6.
S. Chen, S. McLaughlin, P.M. Grant, and B. Mulgrew, "Multi-stage blind clustering equaliser," IEEE Trans. Commun., vol. 43, no. 2/3/4, pp. 701-705, Feb./Mar./Apr. 1995. crossref(new window)

7.
S. Fiori, "Analysis of modified "Bussgang" algorithms (MBAs) for channel equalization," IEEE Trans. Circuits and Systems I, vol. 51 no. 8, pp. 1552-1560, Aug. 2004.

8.
C.A.R. Fernandes, G. Favier, and J.C.M. Mota, "Decision directed adaptive blind equalization based on the constant modulus algorithm," Signal, Image and Video Processing, vol. 1, no. 4, pp. 333-346, 2007. crossref(new window)

9.
D. Hatzinakos and C.L. Nikias, "Estimation of multipath channel response in frequency selective channels," IEEE J. Select. Areas Commun., vol. 7, pp. 12-19, Jan. 1989. crossref(new window)

10.
O. Shalvi and E. Weinstein, "New criteria for blind deconvolution of nonminimum phase systems (channels)," IEEE Trans. Inform. Theory, vol. 36, no. 2, pp. 312-321, Mar. 1990. crossref(new window)