Reduced-complexity MSGR-based matrix inversion

Ma Lei; Kevin Dickson; John McAllister; John McCanny; Mathini Sellathurai

doi:10.1109/SIPS.2008.4671749

Reduced-complexity MSGR-based matrix inversion

Ma Lei^*, Kevin Dickson, John McAllister, John McCanny, Mathini Sellathurai

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

A novel method to significantly reduce the complexity of real-time hardware/software implementations of MSGR-based matrix inversion for MIMO wireless communication systems is presented. It is shown, through extensive simulation of this new technique within a T-BLAST MIMO system, that removing the scale-factor from the MSGR algorithm has no adverse effect on the bit-error rate performance of this practical application. Moreover, this new modification to the MSGR algorithm reduces the number of multiply and divide operations in MSGR-based matrix inversion by 18-19%, Furthermore, it is shown that reduced-precision fixed-point arithmetic may be exploited to further reduce the complexity of the implementation while maintaining acceptable bit-error rate performance.

Original language	English
Title of host publication	2008 IEEE Workshop on Signal Processing Systems
Publisher	IEEE
Pages	124-128
Number of pages	5
ISBN (Print)	9781424429233
DOIs	https://doi.org/10.1109/SIPS.2008.4671749
Publication status	Published - 17 Nov 2008
Event	2008 IEEE Workshop on Signal Processing Systems - Washington, United States Duration: 8 Oct 2008 → 10 Oct 2008

Conference

Conference	2008 IEEE Workshop on Signal Processing Systems
Abbreviated title	SiPS 2008
Country/Territory	United States
City	Washington
Period	8/10/08 → 10/10/08

Keywords

Matrix inversion
MIMO
MMSE

ASJC Scopus subject areas

Electrical and Electronic Engineering
Signal Processing
Applied Mathematics
Hardware and Architecture

Access to Document

10.1109/SIPS.2008.4671749

Cite this

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title = "Reduced-complexity MSGR-based matrix inversion",

abstract = "A novel method to significantly reduce the complexity of real-time hardware/software implementations of MSGR-based matrix inversion for MIMO wireless communication systems is presented. It is shown, through extensive simulation of this new technique within a T-BLAST MIMO system, that removing the scale-factor from the MSGR algorithm has no adverse effect on the bit-error rate performance of this practical application. Moreover, this new modification to the MSGR algorithm reduces the number of multiply and divide operations in MSGR-based matrix inversion by 18-19%, Furthermore, it is shown that reduced-precision fixed-point arithmetic may be exploited to further reduce the complexity of the implementation while maintaining acceptable bit-error rate performance.",

keywords = "Matrix inversion, MIMO, MMSE",

author = "Ma Lei and Kevin Dickson and John McAllister and John McCanny and Mathini Sellathurai",

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doi = "10.1109/SIPS.2008.4671749",

language = "English",

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booktitle = "2008 IEEE Workshop on Signal Processing Systems",

publisher = "IEEE",

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note = "2008 IEEE Workshop on Signal Processing Systems, SiPS 2008 ; Conference date: 08-10-2008 Through 10-10-2008",

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AU - Lei, Ma

AU - Dickson, Kevin

AU - McAllister, John

AU - McCanny, John

AU - Sellathurai, Mathini

PY - 2008/11/17

Y1 - 2008/11/17

N2 - A novel method to significantly reduce the complexity of real-time hardware/software implementations of MSGR-based matrix inversion for MIMO wireless communication systems is presented. It is shown, through extensive simulation of this new technique within a T-BLAST MIMO system, that removing the scale-factor from the MSGR algorithm has no adverse effect on the bit-error rate performance of this practical application. Moreover, this new modification to the MSGR algorithm reduces the number of multiply and divide operations in MSGR-based matrix inversion by 18-19%, Furthermore, it is shown that reduced-precision fixed-point arithmetic may be exploited to further reduce the complexity of the implementation while maintaining acceptable bit-error rate performance.

AB - A novel method to significantly reduce the complexity of real-time hardware/software implementations of MSGR-based matrix inversion for MIMO wireless communication systems is presented. It is shown, through extensive simulation of this new technique within a T-BLAST MIMO system, that removing the scale-factor from the MSGR algorithm has no adverse effect on the bit-error rate performance of this practical application. Moreover, this new modification to the MSGR algorithm reduces the number of multiply and divide operations in MSGR-based matrix inversion by 18-19%, Furthermore, it is shown that reduced-precision fixed-point arithmetic may be exploited to further reduce the complexity of the implementation while maintaining acceptable bit-error rate performance.

KW - Matrix inversion

KW - MIMO

KW - MMSE

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DO - 10.1109/SIPS.2008.4671749

M3 - Conference contribution

AN - SCOPUS:57849116494

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BT - 2008 IEEE Workshop on Signal Processing Systems

PB - IEEE

T2 - 2008 IEEE Workshop on Signal Processing Systems

Y2 - 8 October 2008 through 10 October 2008

ER -

Reduced-complexity MSGR-based matrix inversion

Abstract

Conference

Keywords

ASJC Scopus subject areas

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