[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7236/JIIBC.2020.20.3.53

Performance Analysis of MSAGF-MMA Adaptive Blind Equalization Algorithm with Variable Step Size Using Input Power Signal and Decision-Directed Error Signal

Jeong, Young-Hwa (Dept. of Information & Communication Engineering, Namseoul University)

Publication Information

The Journal of the Institute of Internet, Broadcasting and Communication / v.20, no.3, 2020 , pp. 53-58 More about this Journal

Abstract

This paper is concerned with the performance analysis of MSAGF-MMA with variable step size whose step size varies according to input power signal and decision-directed error signal. The proposed algorithm is made to change according to the input power signal which can reliably increase the convergence speed to the steady state by making the step size less affected by the fluctuation of the input signal in the MMA having the binary flag obtained from the modified Stop-and-Go algorithm. At the same time, the step size can be varied according to the decision-directed error signal so that the residual error can be reduced in the steady state. As a result of computer simulations, it is confirmed that the proposed algorithm has a very good performance in the evaluation of residual ISI and averaged-MSE in steady state as well as in terms of convergence speed to steady state compared to MMA and MSAGF-MMA.

Keywords

MMA; Stop-and-GO; MSAGF-MMA; VSS MSAGF-MMA; ISI;

Citations & Related Records

Reference

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