Cristin-resultat-ID: 63781
Sist endret: 21. oktober 2013, 12:14
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
1999

Blind signal equalisation

Bidragsytere:
  • Stian Normann Anfinsen
  • Frank Herrmann og
  • Asoke Kumar Nandi

Bok

Blind estimation using higher-order statistics
ISBN:
  • 0-7923-8442-3

Utgiver

Kluwer Academic Publishers
NVI-nivå 0

Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 1999
Sider: 27 - 101
ISBN:
  • 0-7923-8442-3

Klassifisering

Emneord

Digital signalbehandling • Statistisk signalbehandling • Telekommunikasjon

Beskrivelse Beskrivelse

Tittel

Blind signal equalisation

Sammendrag

The objective of equalisation is to design a system that optimally removes the distortion that an unknown channel induces on the transmitted signal. This is in effect inverse system modelling, an architecture that is well-known in adaptive filtering theory. The cascade of channel and equaliser should constitute an identity operation, with the exception of a time delay and linear phase shift being allowed. In non-blind equalisation, the equalisation filter is chosen so that the equaliser output matches the observable input signal. Blind equalisation, on the other hand, is performed without access to the original input. It can also be termed unsupervised or self-recovering equalisation, since we do not have a knpown training sequence, a target or desired signal in terms of adaptive filtering. This makes the problem significantly more complex. Blind equalisation is the same problem as blind deconvolution. The aim is to recover the unobservable excitation signal given the response of an unknown system. The approach used in blind equalisation is to equalise statistics of the output signal with statistics of the input signal. It can be shown that equalisation is obtained if the input and output signal have the same probability density function (pdf). Hence, the distribution is all preliminary information required about the input. Different techniques have been developed to solve this problem, and some of the most important ones are discussed in this chapter.

Bidragsytere

Stian Normann Anfinsen

  • Tilknyttet:
    Forfatter
    ved Institutt for fysikk og teknologi ved UiT Norges arktiske universitet

Frank Herrmann

  • Tilknyttet:
    Forfatter

Asoke Kumar Nandi

  • Tilknyttet:
    Forfatter
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Blind estimation using higher-order statistics.

Nandi, Asoke Kumar. 1999, Kluwer Academic Publishers. Vitenskapelig antologi/Konferanseserie
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