一种快速恒模盲均衡算法

S. Nelatury, Sathyanarayan S. Rao
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引用次数: 0

摘要

常模数(CM)准则与梯度搜索相结合有助于分数间隔均衡器的设计。CM算法的有效实现需要适当选择尺度因子/spl mu/称为步长和初始化均衡器系数。经验表明,这两个因素决定了收敛速度和最终的失调。最近Brown等人提出了一种计算效率很高的算法,它是CMA的签名错误版本。本文提出了相同的另一种变体,并报告了更快的收敛速度。这个想法是使用可变步长,这增加了收敛速度。
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A fast constant modulus algorithm for blind equalization
The constant modulus (CM) criterion coupled with a gradient search helps in the design of fractionally spaced equalizers. Effective implementation of CM algorithm requires proper choice of the scale factor /spl mu/ called the step size and initialization of equalizer coefficients. Experience reveals that these two determine the convergence rate and final misadjustment. Recently Brown et al. proposed a computationally efficient algorithm, which is a signed error version of CMA. This paper proposes yet another variation of the same and reports faster convergence. The idea is to use variable step size, which increases the convergence rate.
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