Tree search based approximate maximum likelihood detector for spatial multiplexing systems

Wenjie Jiang, Yusuke Asai, Shuji Kubota

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

In a spatial multiplexing system with multiple antennas on both sides of a wireless link, it is preferable to adopt the maximum likelihood (ML) detection to fully extract both multiplexing and diversity gain. In this paper, we present a new tree search based near ML detector that applies a new ordering in conjunction with efficient node exploration strategy. The error performance of the new detector closely approaches that of the ML detector. However, it is far less complex than conventional suboptimal tree detectors and maintains a fixed detection delay.

本文言語English
ホスト出版物のタイトル18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07
DOI
出版ステータスPublished - 2007 12月 1
外部発表はい
イベント18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07 - Athens, Greece
継続期間: 2007 9月 32007 9月 7

出版物シリーズ

名前IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Conference

Conference18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07
国/地域Greece
CityAthens
Period07/9/307/9/7

ASJC Scopus subject areas

  • 電子工学および電気工学

フィンガープリント

「Tree search based approximate maximum likelihood detector for spatial multiplexing systems」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル