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

Direct link
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, 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
URN: urn:nbn:se:liu:diva-21997DOI: 10.1109/MSP.2009.932126OAI: diva2:242286
©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. Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2016-08-31

Open Access in DiVA

fulltext(787 kB)7897 downloads
File information
File name FULLTEXT01.pdfFile size 787 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full textMIMO Detection Methods: How They Work

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: 7897 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

Altmetric score

Total: 1681 hits
ReferencesLink to record
Permanent link

Direct link