Tree based approximate optimal signal detectors for MIMO spatial multiplexing systems

Wenjie Jiang, Yusuke Asai, Shuji Kubota

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In multiple antenna systems that use spatial multiplexing to raise transmission rates, it is preferable to use maximum likelihood (ML) detection to exploit the full receive diversity and minimize the error probability. In this paper, we present two tree based approximate ML detectors that use new two ordering criteria in conjunction with efficient search strategies. Unlike conventional tree detectors, the new detectors closely approximate the error performance of the exact ML detector while achieving a dramatic reduction in complexity. Moreover, they ensure a fixed detection delay and high level of parallelization in the tree search.

Original languageEnglish
Pages (from-to)544-558
Number of pages15
JournalIEICE Transactions on Communications
VolumeE92-B
Issue number2
DOIs
Publication statusPublished - 2009 Feb

Keywords

  • Complexity reduction
  • MIMO system
  • Maximum likelihood detection
  • Spatial multiplexing

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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