The jointly Gaussian approach to iterative detection in MIMO systems

Xiaojun Yuan, Keying Wu, Li Ping

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

20 Citations (Scopus)

Abstract

This paper is concerned with signal estimation over general multiple-input-multiple-output (MIMO) channels based on a jointly Gaussian (JG) approach. We show that the proposed method is equivalent to the LMMSE approach, but is conceptually more concise and computationally more efficient. A 2x2 multi-antenna system with multipath effect is considered as an example to illustrate the advantages of the JG method. Also, a simple SNR-bounding evolution tool, similar to EXIT chart technique, is developed for fast assessment of the JG method. Compared with the optimal MAP algorithm, the JG method can achieve almost the same performance with greatly reduced complexity. © 2006 IEEE.
Original languageEnglish
Title of host publicationIEEE International Conference on Communications
Pages2935-2940
Volume7
DOIs
Publication statusPublished - 2006
Event2006 IEEE International Conference on Communications (ICC 2006): Bridging Continents through Communications - Istanbul, Türkiye
Duration: 11 Jun 200615 Jun 2006

Publication series

Name
Volume7
ISSN (Print)0536-1486

Conference

Conference2006 IEEE International Conference on Communications (ICC 2006)
Country/TerritoryTürkiye
CityIstanbul
Period11/06/0615/06/06

Research Keywords

  • Iterative detection
  • MIMO system
  • SNR evolution
  • Turbo equalization

Fingerprint

Dive into the research topics of 'The jointly Gaussian approach to iterative detection in MIMO systems'. Together they form a unique fingerprint.

Cite this