Glance on the Convergence of Godard Blind Equalization: Review

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Muhanned AL-Rawi
Muaayed AL-Rawi

Abstract

This paper studies the convergence of Godard blind equalization which based on least mean square (LMS) algorithm. It focuses on studying the effect of changing the step-size of LMS algorithm on the convergence of Godard algorithm. Simulation results show that the increase in step-size has negative impact on the convergence.

 

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How to Cite
AL-Rawi, M., & AL-Rawi, M. (2015). Glance on the Convergence of Godard Blind Equalization: Review. Applied Science and Engineering Progress, 8(2), 87–92. Retrieved from https://ph02.tci-thaijo.org/index.php/ijast/article/view/67466
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