Adaptive digital communication receivers

Author

Haykin, Simon

Author_Institution

McMaster Univ., Hamilton, Ont., Canada

Volume

38

Issue

12

fYear

2000

fDate

12/1/2000 12:00:00 AM

Firstpage

106

Lastpage

114

Abstract

We present a tutorial review of adaptive signal processing applied to a digital communication receiver operating in a nonstationary environment. The topics covered include feedforward and recurrent neural networks and their applications to communication systems. The article also includes a discussion of turbo decoding, which involves a form of recurrent learning. It concludes with a discussion of the various aspects of adaptive signal processing as they relate to digital communication receivers.

Keywords

adaptive signal processing; decision feedback equalisers; decoding; digital communication; feedforward neural nets; learning (artificial intelligence); receivers; recurrent neural nets; turbo codes; DFE; adaptive digital communication receivers; adaptive signal processing; communication systems; decision feedback equalizer; feedforward neural networks; linear equalizer; nonstationary environment; recurrent learning; recurrent neural networks; turbo decoding; unsupervised adaptive filtering; AWGN; Adaptive signal processing; Biological systems; Communication channels; Communication systems; Decision feedback equalizers; Digital communication; Nonlinear distortion; Radio transmitters; Stochastic processes;

fLanguage

English

Journal_Title

Communications Magazine, IEEE

Publisher

ieee

ISSN

0163-6804

Type

jour

DOI

10.1109/35.888264

Filename

888264