A blind decision feedback equalizer incorporating fixed lag smoothing
Identifieur interne : 00C382 ( Main/Exploration ); précédent : 00C381; suivant : 00C383A blind decision feedback equalizer incorporating fixed lag smoothing
Auteurs : S. Perreau [Australie] ; L. B. White [Australie] ; P. Duhamel [France]Source :
- IEEE transactions on signal processing [ 1053-587X ] ; 2000.
Descripteurs français
- Pascal (Inist)
- Traitement signal, Estimation paramètre, Egalisation, Canal transmission, Evaluation performance, Taux erreur bit, Complexité calcul, Modèle Markov, Lissage, Estimation a posteriori, Processus Markov, Equation état, Algorithme EM, Maximum vraisemblance, Système linéaire, Rétroaction, Approche probabiliste, Propagation erreur, Rapport signal bruit, Circuit décision, Performance algorithme, Simulation numérique, Modulation déplacement phase, Canal variant dans temps, Evanouissement, Résultat expérimental, Forme onde.
English descriptors
- KwdEn :
- A posteriori estimation, Algorithm performance, Bit error rate, Computational complexity, Decision circuit, EM algorithm, Equalization, Equations of state, Experimental result, Fading, Feedback regulation, Growth of error, Linear system, Markov model, Markov process, Maximum likelihood, Numerical simulation, Parameter estimation, Performance evaluation, Phase shift keying, Probabilistic approach, Signal processing, Signal to noise ratio, Smoothing, Time variable channel, Transmission channel, Waveform.
Abstract
A new type of blind decision feedback equalizer (DFE) incorporating fixed lag smoothing is developed in this paper. The structure is motivated by the fact that if we make full use of the dependence of the observed data on a given transmitted symbol, delayed decisions may produce better estimates of that symbol. To this end, we use a hidden Markov model (HMM) suboptimal formulation that offers a good tradeoff between computational complexity and bit error rate (BER) performance. The proposed equalizer also provides estimates of the channel coefficients and operates adaptively (so that it can adapt to a fading channel for instance) by means of an online version of the expectation-maximization (EM) algorithm. The resulting equalizer structure takes the form of a linear feedback system including a quantizer, and hence, it is easily implemented. In fact, because of its feedback structure, the proposed equalizer shows some similarities with the well-known DFE. A full theoretical analysis of the initial version of the algorithm is not available, but a characterization of a simplified version is provided. We demonstrate that compared to the zero-forcing DFE (ZF-DFE), the algorithm yields many improvements. A large range of simulations on finite impulse response (FIR) channels and on typical fading GSM channel models illustrate the potential of the proposed equalizer.
Affiliations:
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White</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Department of Electrical and Eletronic Engineering, the University of Adelaide</s1><s2>Adelaide</s2><s3>AUS</s3><sZ>2 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Adelaide</wicri:noRegion></affiliation></author><author><name sortKey="Duhamel, P" sort="Duhamel, P" uniqKey="Duhamel P" first="P." last="Duhamel">P. Duhamel</name><affiliation wicri:level="3"><inist:fA14 i1="03"><s1>Department Signal, Telecom Paris</s1><s2>Paris</s2><s3>FRA</s3><sZ>3 aut.</sZ></inist:fA14><country>France</country><placeName><region type="region">Île-de-France</region><region type="old region">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">00-0270448</idno><date when="2000">2000</date><idno type="stanalyst">PASCAL 00-0270448 INIST</idno><idno type="RBID">Pascal:00-0270448</idno><idno type="wicri:Area/PascalFrancis/Corpus">005F31</idno><idno type="wicri:Area/PascalFrancis/Curation">000239</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">005E02</idno><idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">005E02</idno><idno type="wicri:doubleKey">1053-587X:2000:Perreau S:a:blind:decision</idno><idno type="wicri:Area/Main/Merge">00D350</idno><idno type="wicri:Area/Main/Curation">00C382</idno><idno type="wicri:Area/Main/Exploration">00C382</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">A blind decision feedback equalizer incorporating fixed lag smoothing</title><author><name sortKey="Perreau, S" sort="Perreau, S" uniqKey="Perreau S" first="S." last="Perreau">S. Perreau</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>University of South Australia, The Levels</s1><s3>AUS</s3><sZ>1 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>University of South Australia, The Levels</wicri:noRegion></affiliation></author><author><name sortKey="White, L B" sort="White, L B" uniqKey="White L" first="L. B." last="White">L. B. White</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Department of Electrical and Eletronic Engineering, the University of Adelaide</s1><s2>Adelaide</s2><s3>AUS</s3><sZ>2 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Adelaide</wicri:noRegion></affiliation></author><author><name sortKey="Duhamel, P" sort="Duhamel, P" uniqKey="Duhamel P" first="P." last="Duhamel">P. Duhamel</name><affiliation wicri:level="3"><inist:fA14 i1="03"><s1>Department Signal, Telecom Paris</s1><s2>Paris</s2><s3>FRA</s3><sZ>3 aut.</sZ></inist:fA14><country>France</country><placeName><region type="region">Île-de-France</region><region type="old region">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author></analytic><series><title level="j" type="main">IEEE transactions on signal processing</title><title level="j" type="abbreviated">IEEE trans. signal process.</title><idno type="ISSN">1053-587X</idno><imprint><date when="2000">2000</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">IEEE transactions on signal processing</title><title level="j" type="abbreviated">IEEE trans. signal process.</title><idno type="ISSN">1053-587X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>A posteriori estimation</term><term>Algorithm performance</term><term>Bit error rate</term><term>Computational complexity</term><term>Decision circuit</term><term>EM algorithm</term><term>Equalization</term><term>Equations of state</term><term>Experimental result</term><term>Fading</term><term>Feedback regulation</term><term>Growth of error</term><term>Linear system</term><term>Markov model</term><term>Markov process</term><term>Maximum likelihood</term><term>Numerical simulation</term><term>Parameter estimation</term><term>Performance evaluation</term><term>Phase shift keying</term><term>Probabilistic approach</term><term>Signal processing</term><term>Signal to noise ratio</term><term>Smoothing</term><term>Time variable channel</term><term>Transmission channel</term><term>Waveform</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Traitement signal</term><term>Estimation paramètre</term><term>Egalisation</term><term>Canal transmission</term><term>Evaluation performance</term><term>Taux erreur bit</term><term>Complexité calcul</term><term>Modèle Markov</term><term>Lissage</term><term>Estimation a posteriori</term><term>Processus Markov</term><term>Equation état</term><term>Algorithme EM</term><term>Maximum vraisemblance</term><term>Système linéaire</term><term>Rétroaction</term><term>Approche probabiliste</term><term>Propagation erreur</term><term>Rapport signal bruit</term><term>Circuit décision</term><term>Performance algorithme</term><term>Simulation numérique</term><term>Modulation déplacement phase</term><term>Canal variant dans temps</term><term>Evanouissement</term><term>Résultat expérimental</term><term>Forme onde</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A new type of blind decision feedback equalizer (DFE) incorporating fixed lag smoothing is developed in this paper. The structure is motivated by the fact that if we make full use of the dependence of the observed data on a given transmitted symbol, delayed decisions may produce better estimates of that symbol. To this end, we use a hidden Markov model (HMM) suboptimal formulation that offers a good tradeoff between computational complexity and bit error rate (BER) performance. The proposed equalizer also provides estimates of the channel coefficients and operates adaptively (so that it can adapt to a fading channel for instance) by means of an online version of the expectation-maximization (EM) algorithm. The resulting equalizer structure takes the form of a linear feedback system including a quantizer, and hence, it is easily implemented. In fact, because of its feedback structure, the proposed equalizer shows some similarities with the well-known DFE. A full theoretical analysis of the initial version of the algorithm is not available, but a characterization of a simplified version is provided. We demonstrate that compared to the zero-forcing DFE (ZF-DFE), the algorithm yields many improvements. A large range of simulations on finite impulse response (FIR) channels and on typical fading GSM channel models illustrate the potential of the proposed equalizer.</div></front></TEI><affiliations><list><country><li>Australie</li><li>France</li></country><region><li>Île-de-France</li></region><settlement><li>Paris</li></settlement></list><tree><country name="Australie"><noRegion><name sortKey="Perreau, S" sort="Perreau, S" uniqKey="Perreau S" first="S." last="Perreau">S. Perreau</name></noRegion><name sortKey="White, L B" sort="White, L B" uniqKey="White L" first="L. B." last="White">L. B. White</name></country><country name="France"><region name="Île-de-France"><name sortKey="Duhamel, P" sort="Duhamel, P" uniqKey="Duhamel P" first="P." last="Duhamel">P. Duhamel</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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