liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
MIMO Detection Methods: How They Work
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-7599-4367
2009 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 26, no 3, 91-95 p.Article in journal (Refereed) Published
Abstract [en]

The goal of this lecture has been to provide an overview of approaches, in the communications receiver context. Which method is the best in practice? This depends much on the purpose of solving : what error rate can be tolerated, what is the ultimate measure of performance (e.g., frame-error-rate, worst-case complexity, or average complexity), and what computational platform is used. Additionally, the bits in s may be part of a larger code word and different s vectors in that code word may either see the same H (slow fading) or many different realizations of H (fast fading). This complicates the picture, because notions that are important in slow fading (such as spatial diversity) are less important in fast fading, where diversity is provided anyway by time variations. Detection for MIMO has been an active field for more than ten years, and this research will probably continue for some time.

Place, publisher, year, edition, pages
2009. Vol. 26, no 3, 91-95 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-21997DOI: 10.1109/MSP.2009.932126OAI: oai:DiVA.org:liu-21997DiVA: diva2:242286
Note
©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Erik G. Larsson, MIMO Detection Methods: How They Work, 2009, IEEE signal processing magazine, (26), 3, 91-95. http://dx.doi.org/10.1109/MSP.2009.932126 Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2017-12-13

Open Access in DiVA

fulltext(787 kB)8108 downloads
File information
File name FULLTEXT01.pdfFile size 787 kBChecksum SHA-512
faa60b94d7bbd81f01ae1b1276b96066f338da2e048495adbe0593e8062752fa7efb07a9ddfe34612739823903d773c6c2d2a77220ca5d1e6bf06a5d2e2308e1
Type fulltextMimetype application/pdf

Other links

Publisher's full textMIMO Detection Methods: How They Work

Authority records BETA

Larsson, Erik G.

Search in DiVA

By author/editor
Larsson, Erik G.
By organisation
Communication SystemsThe Institute of Technology
In the same journal
IEEE signal processing magazine (Print)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 8108 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 2099 hits
CiteExportLink to record
Permanent link

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