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http://dx.doi.org/10.7236/JIIBC.2018.18.3.77

A Performance Evaluation of Blind Equalization Algorithma for a Variable Step-Size MSAG-GMMA  

Jeong, Young-Hwa (Dept. of Information and Communication Engineering)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.18, no.3, 2018 , pp. 77-82 More about this Journal
Abstract
This paper is concerned with the performance analysis of a modified stop-and-go generalized multi-modulus algorithm (MSAG-GMMA) adaptive blind equalization algorithm with variable step size. The proposed algorithm multiplies the fixed step size by the error signal of the decision-oriented algorithm in the equalization coefficient update equation, and changes the step size according to the error size. Also, the MSAG-GMMA having a fixed step size is operated so as to maintain a fast convergence speed from a certain threshold to a steady state by determining the error signal size of the decision-directed algorithm, and when the MSAG-GMMA to work To evaluate the performance of the proposed algorithm, we use the ensemble ISI, ensemble-averaged MSE, and equalized constellation obtained from the output of the equalizer as the performance index. Simulation results show that the proposed algorithm has faster convergence speeds than MMA, GMMA, and MSAG-GMMA and has a small residual error in steady state.
Keywords
decision-directed algorithm; MMA; GMMA; MSAG-GMMA; variable step-size MSAG-GMMA;
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