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
收藏
页码：279 / 283
页数：5
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