A neural network model applied to the detection of digital signals

被引：2

作者：

Fernandes, MAC ^{[1
]}

Neto, ADD ^{[1
]}

Bezerra, JB ^{[1
]}

机构：

[1] Univ Fed Rio Grande Norte, Ctr Tecnol, Dept Engn Eletr, Lab Engn Computacao & Automacao, BR-59072970 Natal, RN, Brazil

来源：

ITS '98 PROCEEDINGS - SBT/IEEE INTERNATIONAL TELECOMMUNICATIONS SYMPOSIUM, VOLS 1 AND 2 | 1998年

关键词：

D O I：

10.1109/ITS.1998.713132

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

This work presents a artificial neural network (ANN) approach for the signal decision problem at the receiver of digital communication systems with a modulation scheme whose signal elements belong to a finite bidimensional constellation. The decision system proposed, named Neural Decoder (ND), is a multilayer perceptron neural network trained with the backprogation algorithm and models a maximum-likelihood receiver. The ND training process as well as simulation results of their performance, regarding the conventional receiver, are presented for some modulation systems studied.

引用

页码：279 / 283

页数：5

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