Probabilistic data association for symbol detection in MIMO systems

Y Jia, CM Vithanage, C Andrieu, RJ Piechocki

Research output: Contribution to journalArticle (Academic Journal)

25 Citations (Scopus)

Abstract

The application of the probabilistic data association (PDA) algorithm to the symbol detection in narrowband spatial multiplexed multiple input multiple output systems with known channel state information is investigated. The performance of a new proposed complex formulation of PDA algorithm, which matches the full parameters of the complex Gaussian distribution (which are the mean vector, covariance matrix and the pseudo-covariance matrix), is compared with the real vector formulation of a generalised PDA algorithm and a PDA implementation, which employs complex Gaussian approximations with matched mean and covariance only
Translated title of the contributionProbabilistic data association for symbol detection in MIMO systems
Original languageEnglish
Pages (from-to)38 - 40
JournalElectronics Letters
Volume42
Issue number1
DOIs
Publication statusPublished - Jan 2006

Bibliographical note

Publisher: IEE-INST ELEC ENG
Other identifier: IDS Number: 012FC
Rose publication type: Journal article

Sponsorship: The authors wish to thank Toshiba Telecommunication Research Lab (Bristol) for sponsoring the work presented in
this Letter and M. Sandell for helpful comments

Keywords

  • MIMO systems
  • Gaussian distribution
  • channel coding
  • probability
  • statistical analysis

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