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http://dx.doi.org/10.7840/KICS.2012.37.6A.473

An Adaptive Blind Equalizer Using Gaussian Two-Cluster Model  

Oh, Kil-Nam (광주대학교 광통신공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.37, no.6A, 2012 , pp. 473-479 More about this Journal
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;
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