Performance of the multilayer perceptron-based DFE with lattice structure in linear and non-linear channels

被引：0
|
作者：
Shafi, A [1 ]
Zerguine, A [1 ]
机构：
[1] King Fahd Univ Petr & Minerals, Elect Engn Dept, Dhahran 31261, Saudi Arabia
来源：
CONFERENCE RECORD OF THE THIRTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1 AND 2 | 2001年
关键词：
D O I：
10.1109/ACSSC.2001.986941
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In this work, the effect of whitening the input data in a multilayer perceptron (MLP)-based decision feedback equalizer (DFE) is evaluated. It is shown that whitening the received data employing adaptive lattice channel equalization algorithms improves the convergence rate and bit error rate performances of MLP-based decision feedback equalizers. The consistency in performance is observed in time-invariant, time-varying, and non-linear channels.
引用
收藏
页码：328 / 331
页数：4
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