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
Quasi-Maximum-Likelihood Multiple-Symbol Differential Detection for Time-Varying Rayleigh Fading Channel
SW Jiaotong University.
SW Jiaotong University.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-7599-4367
University of Lancaster, UK.
2009 (English)In: Electronics Letters, ISSN 0013-5194, E-ISSN 1350-911X, Vol. 45, no 22, 1127-1128 p.Article in journal (Refereed) Published
Abstract [en]

The maximum-likelihood multiple-symbol differential detector (ML-MSDD) has better bit-error-rate performance than many other detectors for differential modulation. Unfortunately, the computational complexity of ML-MSDD quickly becomes prohibitive as the observation window size grows. While low-complexity MSDD algorithms for the time-invariant Rayleigh fading channel have been considered before, there is a need for low-complexity MSDD algorithms for general time-varying Rayleigh fading channels. A polynomial-time complexity approach called semi-definite relaxation (SDR) is employed to achieve differential detection with near maximum-likelihood (ML) performance. The proposed SDR quasi-maximum-likelihood (QML) multiple-symbol differential detection (SDR-QML-MSDD) is efficient in that its complexity is polynomial in the observation window size, even in the worst case, while it exhibits almost the same performance as ML-MSDD does.

Place, publisher, year, edition, pages
2009. Vol. 45, no 22, 1127-1128 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-51778DOI: 10.1049/el.2009.2069OAI: oai:DiVA.org:liu-51778DiVA: diva2:277385
Note
This paper is a postprint of a paper submitted to and accepted for publication in Electronics Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library Zheng Ma, Pingzhi Fan, Erik G. Larsson and Bahram Honary, Quasi-Maximum-Likelihood Multiple-Symbol Differential Detection for Time-Varying Rayleigh Fading Channel, 2009, Electronics Letters, (45), 22, 1127-1128. http://dx.doi.org/10.1049/el.2009.2069 Copyright: IEE http://www.theiet.org/ Available from: 2009-11-18 Created: 2009-11-17 Last updated: 2017-12-12

Open Access in DiVA

fulltext(146 kB)913 downloads
File information
File name FULLTEXT01.pdfFile size 146 kBChecksum SHA-512
505a759b855afc780b95ec428a6db390de97741b3e18dd5bddf0fc36e04a019f452c70aa010bc25481ce458b2bb2c6e471dac58bbb41978c674612e1a320574a
Type fulltextMimetype application/pdf

Other links

Publisher's full text

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
Electronics Letters
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 913 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: 1350 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