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A model averaging approach for equalizing sparse communication channels
Department of Information Technology, Uppsala University, Sweden.
Department of Electrical and Computer Engineering, George Washington University, Sweden.ORCID iD: 0000-0002-7599-4367
Department of Information Technology, Uppsala University, Sweden.
Department of Information Technology, Uppsala University, Sweden.
2004 (English)In: Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004, IEEE , 2004, 677-681 p.Conference paper, Published paper (Refereed)
Abstract [en]

In communication applications it is important for equalization to have a good estimate of the channel over which the signal was transferred. In this paper we introduce the concept of model averaging, where several channel estimates are used in a weighted manner, to sparse communication channel estimation and equalization for channels with intersymbol interference. We show via numerical examples that the bit-error-rate (BER) can be reduced by our suggested method, compared to the BERs obtained using channel estimation methods not assuming any sparsity of the channel.

Place, publisher, year, edition, pages
IEEE , 2004. 677-681 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-77266DOI: 10.1109/ACSSC.2004.1399220ISBN: 0-7803-8622-1 (print)OAI: oai:DiVA.org:liu-77266DiVA: diva2:526018
Conference
Thirty-Eighth Asilomar Conference on Signals, Systems, and Computers, California, USA. November 7-10, 2004
Available from: 2012-05-10 Created: 2012-05-10 Last updated: 2016-08-31Bibliographically approved

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Larsson, Erik G.

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf