Probabilistic data association for symbol detection in MIMO systems

Y Jia; CM Vithanage; C Andrieu; RJ Piechocki

doi:10.1049/el:20063439

Probabilistic data association for symbol detection in MIMO systems

Y Jia, CM Vithanage, C Andrieu, RJ Piechocki

Research output: Contribution to journal › Article (Academic Journal) › peer-review

28 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 contribution	Probabilistic data association for symbol detection in MIMO systems
Original language	English
Pages (from-to)	38 - 40
Journal	Electronics Letters
Volume	42
Issue number	1
DOIs	https://doi.org/10.1049/el:20063439
Publication status	Published - 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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title = "Probabilistic data association for symbol detection in MIMO systems",

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",

keywords = "MIMO systems, Gaussian distribution, channel coding, probability, statistical analysis",

author = "Y Jia and CM Vithanage and C Andrieu and RJ Piechocki",

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 ",

year = "2006",

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doi = "10.1049/el:20063439",

language = "English",

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T1 - Probabilistic data association for symbol detection in MIMO systems

AU - Jia, Y

AU - Vithanage, CM

AU - Andrieu, C

AU - Piechocki, RJ

N1 - 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

PY - 2006/1

Y1 - 2006/1

N2 - 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

AB - 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

KW - MIMO systems

KW - Gaussian distribution

KW - channel coding

KW - probability

KW - statistical analysis

U2 - 10.1049/el:20063439

DO - 10.1049/el:20063439

M3 - Article (Academic Journal)

SN - 1350-911X

VL - 42

SP - 38

EP - 40

JO - Electronics Letters

JF - Electronics Letters

IS - 1

ER -

Probabilistic data association for symbol detection in MIMO systems

Abstract

Bibliographical note

Keywords

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