Abstract
We address a new blind equalizer incorporating both the good initial convergence characteristic of the dual-mode modified constant modulus algorithm (MCMA) and the low residual error characteristic after convergence of the decision-directed (DD) algorithm. In the proposed scheme, a convergence detector is employed to help switching from the dual-mode MCMA to the DD algorithm. We have observed that the proposed scheme exhibits a good overall performance in comparison with the CMA, MCMA, and dual-mode MCMA. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Yoon, S., Choi, S. W., Lee, J., Kwon, H., & Song, I. (2005). A novel blind equalizer based on dual-mode MCMA and DD algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3768 LNCS, pp. 711–722). Springer Verlag. https://doi.org/10.1007/11582267_62
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