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

Fingerprint

Multiplexing
MIMO systems
Maximum likelihood
Detectors
Antennas

Keywords

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

ASJC Scopus subject areas

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

Cite this

Tree based approximate optimal signal detectors for MIMO spatial multiplexing systems. / Jiang, Wenjie; Asai, Yusuke; Kubota, Shuji.

In: IEICE Transactions on Communications, Vol. E92-B, No. 2, 02.2009, p. 544-558.

Research output: Contribution to journalArticle

@article{8ee5c62bbbec449f9fdd65d1bae11499,
title = "Tree based approximate optimal signal detectors for MIMO spatial multiplexing systems",
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.",
keywords = "Complexity reduction, Maximum likelihood detection, MIMO system, Spatial multiplexing",
author = "Wenjie Jiang and Yusuke Asai and Shuji Kubota",
year = "2009",
month = "2",
doi = "10.1587/transcom.E92.B.544",
language = "English",
volume = "E92-B",
pages = "544--558",
journal = "IEICE Transactions on Communications",
issn = "0916-8516",
publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",
number = "2",

}

TY - JOUR

T1 - Tree based approximate optimal signal detectors for MIMO spatial multiplexing systems

AU - Jiang, Wenjie

AU - Asai, Yusuke

AU - Kubota, Shuji

PY - 2009/2

Y1 - 2009/2

N2 - 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.

AB - 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.

KW - Complexity reduction

KW - Maximum likelihood detection

KW - MIMO system

KW - Spatial multiplexing

UR - http://www.scopus.com/inward/record.url?scp=77952863381&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77952863381&partnerID=8YFLogxK

U2 - 10.1587/transcom.E92.B.544

DO - 10.1587/transcom.E92.B.544

M3 - Article

VL - E92-B

SP - 544

EP - 558

JO - IEICE Transactions on Communications

JF - IEICE Transactions on Communications

SN - 0916-8516

IS - 2

ER -