Decision Feedback Equalizers Using Radial Basis Function Networks

被引：0

作者：

Electrical Engineering Department and the Research Institute, King Fahd University of Petroleum and Minerals , Dhahran ^{[1
]}

31261, Saudi Arabia

机构：

[1] Electrical Engineering Department and the Research Institute, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran

来源：

Journal of King Saud University - Engineering Sciences | 2000年 / 12卷 / 02期

关键词：

decision feedback equalizers; ISI channels; neural networks; Nonlinear equalization; radial basis function;

D O I：

10.1016/S1018-3639(18)30718-9

中图分类号：

学科分类号：

摘要：

Decision feedback equalizers (DFE)s are used extensively in practical communication systems. They are more powerful than linear equalizers especially for severe inter-symbol interference (ISI) channels with deep frequency null. In this paper, radial basis function (RBF) network is used to implement DFE. Advantages and problems of this system are discussed and its results are then compared with DFE using multilayer perception net (MLP). Results indicate that the implemented system outperforms both the least-mean square (LMS) algorithm and MLP given the same signal-to-noise ratio. © 2000 (A.H. 1420) King Saud University

引用

页码：257 / 267

页数：10

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