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.
This research was supported by the Ministry of Science and Technology (MOST) under the National Research Laboratory (NRL) Program of Korea Science and Engineering Foundation (KOSEF), for which the authors would like to express their thanks.
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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: Ho, YS., Kim, HJ. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11582267_62
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DOI: https://doi.org/10.1007/11582267_62
Publisher Name: Springer, Berlin, Heidelberg
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