Joint channel tracking and symbol detection in MIMO systems via multiple model methods

Y Jia; C Andrieu; RJ Piechocki; Magnus Sandell

doi:10.1109/SPAWC.2005.1505862

Joint channel tracking and symbol detection in MIMO systems via multiple model methods

Y Jia
, C Andrieu
, RJ Piechocki
, Magnus Sandell

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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Abstract

We propose a new semi-blind joint channel tracking and symbol detection for spatial multiplexing MIMO system. The proposed algorithm is based on the generalized pseudo Bayesian algorithm (GPB) and probability data association (PDA). The purpose of the GPB algorithm is to control the size of the filtering tree and the Gaussian approximation idea behind PDA is applied to each time instant to reduce the model size. Simulation results are given to demonstrate the effectiveness of the new algorithm

Translated title of the contribution	Joint channel tracking and symbol detection in MIMO systems via multiple model methods
Original language	English
Title of host publication	Workshop on Signal Processing Advances in Wireless Communications, New York, United States
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	12 - 16
ISBN (Print)	0780388674
DOIs	https://doi.org/10.1109/SPAWC.2005.1505862
Publication status	Published - Jun 2005
Event	6th Workshop on Signal Processing Advances in Wireless Communications - New York, United States Duration: 1 Jun 2005 → …

Conference

Conference	6th Workshop on Signal Processing Advances in Wireless Communications
Country/Territory	United States
City	New York
Period	1/06/05 → …

Bibliographical note

Conference Proceedings/Title of Journal: IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005
Rose publication type: Conference contribution

Sponsorship: The authors would like to acknowledge fruitful discussions with the researchers at Toshiba Research Europe and the support of its directors
The hrst author would also like to thank for their financial support.

Terms of use: Copyright © 2005 IEEE. Reprinted from Proceedings of IEEE Workshop on Signal Processing Advances in Wireless Communications, 2005. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

Bayes methods
Gaussian channels
MIMO
approximation theory

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10.1109/SPAWC.2005.1505862

Jia IEEE SPAWC 2005Accepted author manuscript, 765 KB

http://hdl.handle.net/1983/868

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title = "Joint channel tracking and symbol detection in MIMO systems via multiple model methods",

abstract = "We propose a new semi-blind joint channel tracking and symbol detection for spatial multiplexing MIMO system. The proposed algorithm is based on the generalized pseudo Bayesian algorithm (GPB) and probability data association (PDA). The purpose of the GPB algorithm is to control the size of the filtering tree and the Gaussian approximation idea behind PDA is applied to each time instant to reduce the model size. Simulation results are given to demonstrate the effectiveness of the new algorithm",

keywords = "Bayes methods, Gaussian channels, MIMO, approximation theory",

author = "Y Jia and C Andrieu and RJ Piechocki and Magnus Sandell",

note = "Conference Proceedings/Title of Journal: IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005 Rose publication type: Conference contribution Sponsorship: The authors would like to acknowledge fruitful discussions with the researchers at Toshiba Research Europe and the support of its directors The hrst author would also like to thank for their financial support. Terms of use: Copyright {\textcopyright} 2005 IEEE. Reprinted from Proceedings of IEEE Workshop on Signal Processing Advances in Wireless Communications, 2005. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; 6th Workshop on Signal Processing Advances in Wireless Communications ; Conference date: 01-06-2005",

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month = jun,

doi = "10.1109/SPAWC.2005.1505862",

language = "English",

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booktitle = "Workshop on Signal Processing Advances in Wireless Communications, New York, United States",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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}

Jia, Y, Andrieu, C , Piechocki, RJ & Sandell, M 2005, Joint channel tracking and symbol detection in MIMO systems via multiple model methods. in Workshop on Signal Processing Advances in Wireless Communications, New York, United States. Institute of Electrical and Electronics Engineers (IEEE), pp. 12 - 16, 6th Workshop on Signal Processing Advances in Wireless Communications, New York, United States, 1/06/05. https://doi.org/10.1109/SPAWC.2005.1505862

Joint channel tracking and symbol detection in MIMO systems via multiple model methods. / Jia, Y; Andrieu, C ; Piechocki, RJ et al.
Workshop on Signal Processing Advances in Wireless Communications, New York, United States. Institute of Electrical and Electronics Engineers (IEEE), 2005. p. 12 - 16.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AB - We propose a new semi-blind joint channel tracking and symbol detection for spatial multiplexing MIMO system. The proposed algorithm is based on the generalized pseudo Bayesian algorithm (GPB) and probability data association (PDA). The purpose of the GPB algorithm is to control the size of the filtering tree and the Gaussian approximation idea behind PDA is applied to each time instant to reduce the model size. Simulation results are given to demonstrate the effectiveness of the new algorithm

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M3 - Conference Contribution (Conference Proceeding)

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ER -

Joint channel tracking and symbol detection in MIMO systems via multiple model methods

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