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Blind Signal Equalisation

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Blind Estimation Using Higher-Order Statistics

Abstract

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.

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Authors
  1. S. N. Anfinsen
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  2. F. Herrmann
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  3. A. K. Nandi
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Electronics, University of Liverpool, UK

    Asoke Kumar Nandi (David Jardine Chair of Electrical Engineering) (David Jardine Chair of Electrical Engineering)

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© 1999 Springer Science+Business Media Dordrecht

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Anfinsen, S.N., Herrmann, F., Nandi, A.K. (1999). Blind Signal Equalisation. In: Nandi, A.K. (eds) Blind Estimation Using Higher-Order Statistics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2985-6_2

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  • DOI: https://doi.org/10.1007/978-1-4757-2985-6_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5078-9

  • Online ISBN: 978-1-4757-2985-6

  • eBook Packages: Springer Book Archive

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