uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • 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
On Bayesian channel estimation and FFT-based symbol detection in MIMO underwater acoustic communications
Show others and affiliations
2014 (English)In: IEEE Journal of Oceanic Engineering, ISSN 0364-9059, E-ISSN 1558-1691, Vol. 39, no 1, p. 59-73Article in journal (Refereed) Published
Abstract [en]

Reliable channel estimation and effective interference cancellation are essential for enhancing the performance of multiple-input-multiple-output (MIMO) underwater acoustic communication (UAC) systems. In this paper, an efficient user-parameter-free Bayesian approach, referred to as sparse learning via iterative minimization (SLIM), is presented. SLIM provides good channel estimation performance along with reduced computational complexity compared to iterative adaptive approach (IAA). Moreover, RELAX-BLAST, which is a linear minimum mean-squared error (MMSE)-based symbol detection scheme, is implemented efficiently by making use of the conjugate gradient (CG) method and diagonalization properties of circulant matrices. The proposed algorithm requires only simple fast Fourier transform (FFT) operations and facilitates parallel implementations. These MIMO UAC techniques are evaluated using both simulated and in-water experimental examples. The 2008 Surface Processes and Acoustic Communications Experiment (SPACE08) experimental results show that the proposed MIMO UAC schemes can enjoy almost error-free performance even under severe ocean environments.

Place, publisher, year, edition, pages
2014. Vol. 39, no 1, p. 59-73
Keywords [en]
Circulant matrices, conjugate gradient (CG), multiple-input-multiple-output (MIMO), RELAX-BLAST, sparse learning via iterative minimization, underwater acoustic communications (UAC)
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-218961DOI: 10.1109/JOE.2012.2234893ISI: 000329986700007OAI: oai:DiVA.org:uu-218961DiVA, id: diva2:698172
Available from: 2014-01-09 Created: 2014-02-20 Last updated: 2017-12-06Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Lundberg Nordenvaad, Magnus

Search in DiVA

By author/editor
Lundberg Nordenvaad, Magnus
By organisation
Division of Systems and ControlAutomatic control
In the same journal
IEEE Journal of Oceanic Engineering
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 434 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • 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