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http://dx.doi.org/10.7236/JIIBC.2019.19.5.115

Performance Evaluation of MSAG-SCS-MMA-I Adaptive Blind Equalization Algorithm with dual step-size  

Jeong, Young-Hwa (Dept. of Information & Communication Engineering, Namseoul University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.19, no.5, 2019 , pp. 115-121 More about this Journal
Abstract
In this paper, we propose MSAG-SCS-MMA-I adaptive blind equalization with double step size with very small residual ISI and MSE at steady-state while significantly improving the convergence speed of the traditional SCS-MMA-I algorithm in 256-QAM system. And we evaluate the equalization performance for this algorithm. Different step sizes according to the absolute value of decision-directed error instead of a fixed step-size are applied to the tap update equation of MSAG-SCS-MMA-I, which is controlled by binary flags of '1' or '0' obtained from SCS-MMA-I and decision-directed algorithms. This makes for excellent equalization performance. As a result of computer simulation, we confirmed that the proposed algorithm has more better performance than the MMA, SCS-MMA-I, and MSAG-SCS-MMA-I algorithms in terms of the performance index such as residual ISI, MSE, and MD.
Keywords
dual step-size MSAG-SCS-MMA-I; MMA; MSAG-SCS-MMA-I; SCS-MMA-I;
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Times Cited By KSCI : 2  (Citation Analysis)
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