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Enhanced channel estimation and efficient symbol detection in MIMO underwater acoustic communications
University of Florida.
University of Florida.
University of Florida.
University of Florida.
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2009 (English)In: Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, IEEE Communications Society, 2009, p. 600-604Conference paper, Published paper (Refereed)
Abstract [en]

Effective training sequences and reliable channel estimation algorithms are essential for enhancing the performance of multi-input multi-output (MIMO) underwater acoustic communications (UAC). Also, effective interference cancellation schemes are crucial for reliable symbol detection. In this paper, the problem of designing MIMO training sequences is considered. Moreover, we present a sparse learning via iterative minimization (SLIM) algorithm for enhanced channel estimation and reduced computational complexity. Furthermore, RELAX-BLAST, a linear minimum mean-squared error based symbol detection scheme, is implemented efficiently by exploiting the conjugate gradient method and diagonalization properties of circulant matrices. The proposed MIMO UAC techniques are evaluated using both simulated and experimental examples.

Place, publisher, year, edition, pages
IEEE Communications Society, 2009. p. 600-604
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-31967DOI: 10.1109/ACSSC.2009.5469906Local ID: 64c33a00-f247-11df-8b36-000ea68e967bISBN: 978-1-4244-5825-7 (print)OAI: oai:DiVA.org:ltu-31967DiVA, id: diva2:1005201
Conference
Asilomar Conference on Signals, Systems and Computers : 01/11/2009 - 04/11/2009
Note
Upprättat; 2009; 20101117 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Nordenvaad, Magnus Lundberg

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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More styles
Language
  • de-DE
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  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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