A novel blind equalizer based on dual-mode MCMA and DD algorithm

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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.
Publisher
Springer Verlag (Germany)
Issue Date
2005-11
Citation

Lecture notes in computer science, vol. 3768, pp. 711-722

ISSN
0302-9743
DOI
10.1007/11582267
URI
http://hdl.handle.net/10203/5564
Appears in Collection
EE-Journal Papers(저널논문)

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