Application of ARMA models to automatic channel equalization

G. C. Goodwin, H. B. Doan, A. Cantoni

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper describes a novel approach to automatic channel equalization in digital transmission systems. The approach is based on the use of a finite-dimensional rational approximation to the channel characteristics. This class of channel approximation has the following advantages: it allows a finite parametrization of the channel impulse response which may be of infinite duration, it allows for the possibility of the noise being colored, it applies to either single- or multiple-channel systems, and it has the pedigogical advantage that many other algorithms in current use are based on models which are special cases of this model. The rational approximation to the channel characteristics is used in the paper to develop a new receiver structure using fixed-lag smoothing ideas. Simulation studies are presented showing that the receiver offers advantages over other algorithms for mitigating the effects of intersymbol and interchannel interference including those arising from carrier phase errors.

Original languageEnglish
Pages (from-to)107-129
Number of pages23
JournalInformation Sciences
Volume22
Issue number2
DOIs
Publication statusPublished - 1 Jan 1980
Externally publishedYes

Fingerprint

Channel Equalization
ARMA Model
Rational Approximation
Receiver
Finite-dimensional Approximation
Phase Error
Colored Noise
Impulse Response
Impulse response
Parametrization
Smoothing
Interference
Simulation Study
Approximation
Model
ARMA model
Equalization
Class

Cite this

Goodwin, G. C. ; Doan, H. B. ; Cantoni, A. / Application of ARMA models to automatic channel equalization. In: Information Sciences. 1980 ; Vol. 22, No. 2. pp. 107-129.
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Application of ARMA models to automatic channel equalization. / Goodwin, G. C.; Doan, H. B.; Cantoni, A.

In: Information Sciences, Vol. 22, No. 2, 01.01.1980, p. 107-129.

Research output: Contribution to journalArticle

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