Closed form expressions for the dispersion constant of weerackody-kassam algorithm for blind equalization

S. Abrar
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Abstract

Blind equalization (BE) is a technique for adaptive equalization of a communication channel without the aid of the usual training sequence. Stochastic gradient based BE algorithm equalize the dispersive signals by exploiting the high-order statistics of the transmitted signal using some pre-calculated constants. These constants, usually termed as dispersion constants, contain the information about the size, shape, and energy of the transmitted signal. In this work, closed form expressions are obtained for the dispersion constant used in Weerackody-Kassam hard limited algorithm (WKA) for square and symmetric quadrature amplitude modulation (QAM) signals. (a): y = 9, 128QAM 1 5 1 1 5 -10 0 10 aR (b): y = 13,256-QAM 10 15 -10 0 10 a Fig. 1. Zero-error contours for WKA.
盲均衡weerackody-kassam算法色散常数的封闭表达式
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BE算法利用发射信号的高阶统计量,利用一些预先计算的常数来均衡色散信号。这些常数,通常被称为色散常数,包含有关传输信号的大小、形状和能量的信息。在这项工作中,得到了Weerackody-Kassam硬限制算法(WKA)中用于方形和对称正交调幅(QAM)信号的色散常数的封闭表达式。(a): y = 9,128 qam 15 15 5 -10 0 10 aR (b): y = 13,256-QAM 10 15 -10 0 10 a图1。WKA的零错误轮廓。
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