Evaluation of dispersion constants for signed-error blind equalization algorithms

S. Abrar
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引用次数: 1

Abstract

Blind equalization isatechnique foradaptive equalization ofacommunication channel without theaidoftheusual training sequence. Stochastic gradient based blind equalization algorithms equalize thedispersive signals byexploitingthehigh-order statistics ofthetransmitted signal which areembedded insomepre-calculated constants. These constants, usually termed asdispersion constants, contain the information about thesize, shape andenergy ofthetransmitted signal. Dispersion constants also provide propel' gain oftheequalizer suchthat themeanfluctuation inadaptation process iszero(orminimum). Constant modulus algorithm (CMA)isawidely-stutdied andprobably themost famous blind equalization method in literature andpractice. Inthis work, wecontribute alittle by providing simple formulas forthedispersion constants used inCMAandsigned-error CMAforPAMandQAMsignals.
带符号误差盲均衡算法的色散常数计算
盲均衡是一种不借助常规训练序列对通信信道进行自适应均衡的技术。基于随机梯度的盲均衡算法通过利用嵌入在一些预计算常数中的传输信号的高阶统计量来均衡色散信号。这些常数,通常被称为色散常数,包含了传输信号的大小、形状和能量的信息。色散常数还提供均衡器的推进增益,使平均波动不适应过程为零(或最小)。恒模算法(CMA)是一种被广泛研究的盲均衡方法,可能是文献和实践中最著名的盲均衡方法。在这项工作中,我们提供了一些简单的公式来计算maa和带符号误差的cmaforpamand qams信号中使用的色散常数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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