Tree search based approximate maximum likelihood detector for spatial multiplexing systems

Wenjie Jiang, Yusuke Asai, Shuji Kubota

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

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07
DOIs
Publication statusPublished - 2007 Dec 1
Event18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07 - Athens, Greece
Duration: 2007 Sep 32007 Sep 7

Publication series

NameIEEE 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
CountryGreece
CityAthens
Period07/9/307/9/7

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Jiang, W., Asai, Y., & Kubota, S. (2007). Tree search based approximate maximum likelihood detector for spatial multiplexing systems. In 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07 [4394077] (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC). https://doi.org/10.1109/PIMRC.2007.4394077