Approximate maximum likelihood detectors for MIMO spatial multiplexing systems

Wenjie Jiang, Shuji Kubota, Yusuke Asai

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

1 Citation (Scopus)

Abstract

In multiple antenna systems using spatial multiplexing to raise data rates, it is preferable to use maximum likelihood (ML) detection to fully benefit from multiplexing and diversity gain. In this paper, we present two tree based near ML detectors that use new ordering criteria in conjunction with an efficient tree search strategy. Compared with conventional tree detectors, the error performance of the new detectors closely approximates that of the exact ML detector while achieving a dramatic reduction in complexity. Moreover, the new schemes ensure a fixed detection delay and parallelization in tree search.

Original languageEnglish
Title of host publicationWCNC 2008 - IEEE Wireless Communications and Networking Conference, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages153-158
Number of pages6
ISBN (Print)9781424419968
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventIEEE Wireless Communications and Networking Conference, WCNC 2008 - Las Vegas, NV, United States
Duration: 2008 Mar 312008 Apr 3

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

ConferenceIEEE Wireless Communications and Networking Conference, WCNC 2008
CountryUnited States
CityLas Vegas, NV
Period08/3/3108/4/3

Keywords

  • Layer ordering
  • MIMO system
  • Maximum likelihood detection
  • Spatial multiplexing
  • Tree search

ASJC Scopus subject areas

  • Engineering(all)

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