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http://dx.doi.org/10.7236/JIIBC.2013.13.4.83

Performance Improvement of MSAGF-MMA Adaptive Blind Equalization Using Multiple Step-Size LMS  

Jeong, Young-Hwa (Dept. of Information & Communication, Namseoul University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.13, no.4, 2013 , pp. 83-89 More about this Journal
Abstract
An adaptive blind equalization is a technique using to minimize the Inter-symbol Interference occurred on a communication channel in the transmission of the high speed digital data. In this paper, we propose a blind equalization more improving performance of the conventional MSAGF-MMA adaptive blind equalization algorithm by applying a multiple step size. This algorithm apply a LMS algorithm with a several step size according to each region divided by absolute values of decision-directed error to MSAGF-MMA. By computer simulation, it is confirmed that the proposed algorithm has a performance highly enhanced in terms of a convergence speed, a residual ISI and a residual error and an ensemble averaged MSE in a steady status compared with MMA and MSAGF-MMA.
Keywords
MMA; MSAGF-MMA; multiple step size; decision-directed error; ISI;
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