Broadband SVD and non-linear precoding applied to broadband MIMO channels

Waleed E.A.E. Al Hanafy; Andrew Paul Millar; Chi Hieu Ta; S. Weiss

doi:10.1109/ACSSC.2008.5074793

Broadband SVD and non-linear precoding applied to broadband MIMO channels

Waleed E.A.E. Al Hanafy, Andrew Paul Millar, Chi Hieu Ta, S. Weiss

Electronic And Electrical Engineering

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

12 Citations (Scopus)

Abstract

We address the problem of precoding and equalisation of broadband MIMO systems. A new non-block based methods is based on a broadband singular value decomposition, which can decouple a broadband MIMO channel into independent dispersive SISO subchannels. We thereafter apply Tomlinson-Harashima precoding to mitigate the dispersiveness of these SISO subchannels. We present arguments why this is a suitable approach compared to existing methods, underlined by some simulation results.

Original language	English
Title of host publication	42nd Asilomar Conference on Signals, Systems and Computers, 2008
Publisher	IEEE
Pages	2053-2057
Number of pages	5
ISBN (Print)	978-1-4244-2940-0
DOIs	https://doi.org/10.1109/ACSSC.2008.5074793
Publication status	Published - Oct 2008

Keywords

MIMO communication
channel estimation
dispersive channels
precoding
singular value decomposition
Tomlinson-Harashima precoding
broadband MIMO channels
channel equalisation
dispersive SISO subchannels
nonblock based methods
nonlinear precoding

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10.1109/ACSSC.2008.5074793

Cite this

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abstract = "We address the problem of precoding and equalisation of broadband MIMO systems. A new non-block based methods is based on a broadband singular value decomposition, which can decouple a broadband MIMO channel into independent dispersive SISO subchannels. We thereafter apply Tomlinson-Harashima precoding to mitigate the dispersiveness of these SISO subchannels. We present arguments why this is a suitable approach compared to existing methods, underlined by some simulation results.",

keywords = "MIMO communication, channel estimation, dispersive channels, precoding, singular value decomposition, Tomlinson-Harashima precoding, broadband MIMO channels, channel equalisation, dispersive SISO subchannels, nonblock based methods, nonlinear precoding",

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T1 - Broadband SVD and non-linear precoding applied to broadband MIMO channels

AU - Al Hanafy, Waleed E.A.E.

AU - Millar, Andrew Paul

AU - Ta, Chi Hieu

AU - Weiss, S.

PY - 2008/10

Y1 - 2008/10

N2 - We address the problem of precoding and equalisation of broadband MIMO systems. A new non-block based methods is based on a broadband singular value decomposition, which can decouple a broadband MIMO channel into independent dispersive SISO subchannels. We thereafter apply Tomlinson-Harashima precoding to mitigate the dispersiveness of these SISO subchannels. We present arguments why this is a suitable approach compared to existing methods, underlined by some simulation results.

AB - We address the problem of precoding and equalisation of broadband MIMO systems. A new non-block based methods is based on a broadband singular value decomposition, which can decouple a broadband MIMO channel into independent dispersive SISO subchannels. We thereafter apply Tomlinson-Harashima precoding to mitigate the dispersiveness of these SISO subchannels. We present arguments why this is a suitable approach compared to existing methods, underlined by some simulation results.

KW - MIMO communication

KW - channel estimation

KW - dispersive channels

KW - precoding

KW - singular value decomposition

KW - Tomlinson-Harashima precoding

KW - broadband MIMO channels

KW - channel equalisation

KW - dispersive SISO subchannels

KW - nonblock based methods

KW - nonlinear precoding

U2 - 10.1109/ACSSC.2008.5074793

DO - 10.1109/ACSSC.2008.5074793

M3 - Chapter

SN - 978-1-4244-2940-0

SP - 2053

EP - 2057

BT - 42nd Asilomar Conference on Signals, Systems and Computers, 2008

PB - IEEE

ER -

Broadband SVD and non-linear precoding applied to broadband MIMO channels

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Keywords

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