A new grouping-ML detector with low complexity for SC-FDMA systems

Sungmook Lim, Taehoon Kwon, Jemin Lee, Daesik Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, we propose a new grouping-maximum likelihood detector (GMLD) for single carrier-frequency division multiple access (SC-FDMA) systems. The proposed detector performs local maximum likelihood (ML) detection by grouping the received symbol block based on orthogonal projection to reduce the complexity of ML detector. As a result, the proposed detector offers lower complexity than the ML detector, while its performance approaches that of the ML detector. In addition, the efficient group size to guarantee the lowest complexity and the BER performance close to the ML is also presented.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Communications, ICC 2010
DOIs
Publication statusPublished - 2010
Event2010 IEEE International Conference on Communications, ICC 2010 - Cape Town, South Africa
Duration: 2010 May 232010 May 27

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Other

Other2010 IEEE International Conference on Communications, ICC 2010
Country/TerritorySouth Africa
CityCape Town
Period10/5/2310/5/27

Bibliographical note

Funding Information:
The authors like to thank Juan-Pablo Ramirez, who conducted the listening test at the Telekom Quality and Usability Lab. in Berlin.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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