Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • 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 Robust Training Sequence Design for Correlated MIMO Channel Estimation
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
Southeast University, Nanjing.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3599-5584
2012 (English)In: Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on, IEEE Computer Society, 2012, 504-507 p.Conference paper, Published paper (Refereed)
Abstract [en]

The problem of robust training sequence design for the purpose of multiple-input multiple-output (MIMO) channel estimation is considered. In particular, we aim to minimize the worst-case mean squared error of the channel estimates which is formulated as a minimax optimization problem. This problem is addressed efficiently using an extended barrier method under the general assumption of an arbitrary compact convex uncertainty set. Moreover, assuming a Kronecker MIMO channel and a unitarily invariant uncertainty set, the robust design problem is diagonalized which significantly lowers the dimensionality of the optimization problem. We provide numerical examples to illustrate the performance of the proposed design.

Place, publisher, year, edition, pages
IEEE Computer Society, 2012. 504-507 p.
Series
Asilomar Conference on Signals, Systems and Computers. Conference Record, ISSN 1058-6393
Keyword [en]
Channel estimate, Mean squared error, MIMO channel estimation, Minimax optimization, Multiple-input multiple-output channels, Numerical example, Optimization problems
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-116452DOI: 10.1109/ACSSC.2012.6489055ISI: 000320768400093Scopus ID: 2-s2.0-84876228012ISBN: 978-1-4673-5051-8 (print)OAI: oai:DiVA.org:kth-116452DiVA: diva2:589631
Conference
46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012; Pacific Grove, CA; United States; 4 November 2012 through 7 November 2012
Note

QC 20130522

Available from: 2013-01-18 Created: 2013-01-18 Last updated: 2016-04-25Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Bengtsson, Mats

Search in DiVA

By author/editor
Shariati, NafisehBengtsson, Mats
By organisation
Signal ProcessingACCESS Linnaeus Centre
Signal ProcessingTelecommunications

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 164 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • 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