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http://dx.doi.org/10.7236/JIIBC.2016.16.1.109

Performance Improvement of CCA Blind Equalization Algorithm by Adaptive Step Size  

Lim, Seung-Gag (Dept. of Information and Communication, Kongju National University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.16, no.1, 2016 , pp. 109-114 More about this Journal
Abstract
This paper relates with the performance improvement of CCA (Compact Constellation Algorithm) equalization algorithm by adding the adaptive step size control in order to the minimization of intersymbol interference and additive noise effects that is occurs in the channel for digital radio transmissionl. In general, the fixed step size was used in order to adaptation in equalizer algorithm. But in proposed algorithm, the variable step size were adapted that is proposional to the nonlinear function of error signal for equalization. In order to show the improved equalizatation performance, the output signal constellation of equalizer, residual isi, maximum distortion, MSE and SER were used, then it were compared with the present CCA algorithm. As a result of computer simulation, the adaptive step size CCA has more better performance in the every performance index compared to the fixed step size CCA after in the steay state.
Keywords
CCA; adaptive step size; residual isi; MSE; maximum distortion;
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