略论戈达尔盲均衡的收敛性

King Mongkut’s University of Technology North Bangkok International Journal of Applied Science and Technology Pub Date : 2015-03-25 DOI:10.14416/J.IJAST.2015.03.001

M. Al-Rawi, M. Al-Rawi

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引用次数: 0

摘要

研究了基于最小均方(LMS)算法的戈达尔盲均衡的收敛性。重点研究了改变LMS算法步长对Godard算法收敛性的影响。仿真结果表明，步长增大对收敛性有负面影响。

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Glance on the Convergence of Godard Blind Equalization: Review

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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King Mongkut’s University of Technology North Bangkok International Journal of Applied Science and Technology

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