Jointly gaussian approximation and multi-stage LLR combining in the iterative receiver for MIMO-BICM systems

Yang, T; Yuan, J; Shi, Z

Jointly gaussian approximation and multi-stage LLR combining in the iterative receiver for MIMO-BICM systems

Yang, T

Yuan, J Shi, Z

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Wireless Communications, 2008, 7 (12), pp. 5250 - 5256
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Yang, T https://orcid.org/0000-0002-9870-6866	en_US
dc.contributor.author	Yuan, J	en_US
dc.contributor.author	Shi, Z	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	IEEE Transactions on Wireless Communications, 2008, 7 (12), pp. 5250 - 5256	en_US
dc.identifier.issn	1536-1276	en_US
dc.identifier.uri	http://hdl.handle.net/10453/39578
dc.description.abstract	In this letter, we propose a new multi-stage LLR combining (MLC) algorithm in an iterative receiver for MIMOBICM systems. This algorithm combines the soft information from different receive antennas in a multi-stage fashion, where the combining factors are derived based on the joint likelihood function of bivariate Gaussian random variables. The variance transfer (VT) function of the proposed scheme is derived for performance analysis. For slow fading channels, we show that the proposed MLC algorithm can achieve almost the same performance as the linear minimum mean square error (LMMSE) filtering approach, whereas the computation-demanding matrix inverse for LMMSE can be avoided. © 2006 IEEE.	en_US
dc.relation.ispartof	IEEE Transactions on Wireless Communications	en_US
dc.relation.isbasedon	10.1109/T-WC.2008.071294	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Jointly gaussian approximation and multi-stage LLR combining in the iterative receiver for MIMO-BICM systems	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.citation.volume	7	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.issue	12	en_US
pubs.publication-status	Published	en_US
pubs.volume	7	en_US

Abstract:

In this letter, we propose a new multi-stage LLR combining (MLC) algorithm in an iterative receiver for MIMOBICM systems. This algorithm combines the soft information from different receive antennas in a multi-stage fashion, where the combining factors are derived based on the joint likelihood function of bivariate Gaussian random variables. The variance transfer (VT) function of the proposed scheme is derived for performance analysis. For slow fading channels, we show that the proposed MLC algorithm can achieve almost the same performance as the linear minimum mean square error (LMMSE) filtering approach, whereas the computation-demanding matrix inverse for LMMSE can be avoided. © 2006 IEEE.

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