Robust blind channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing

Blind channel estimation for MIMO-OFDM systems based on blind source separation (BSS) is currently an active area of research. A blind channel estimator for MIMO-OFDM systems using second-order blind identification (SOBI) algorithm was previously presented in the literature. The SOBI algorithm relie...

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Main Author:	Al-Aghbari, Khaled Abdulaziz
Format:	Thesis
Published:	2013
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-mmu-ep.5897
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spelling	my-mmu-ep.58972020-12-29T16:51:12Z Robust blind channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing 2013-08 Al-Aghbari, Khaled Abdulaziz TK Electrical engineering. Electronics Nuclear engineering TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Blind channel estimation for MIMO-OFDM systems based on blind source separation (BSS) is currently an active area of research. A blind channel estimator for MIMO-OFDM systems using second-order blind identification (SOBI) algorithm was previously presented in the literature. The SOBI algorithm relies only on the second-order statistics (e.g., correlation) of the received signal. It is well known that second-order statistics is not sufficient for BSS. Recently, a BSS algorithm based on correntropy independent components analysis (ICA) was formulated for separating both independent and identically distributed (i.i.d) sources and temporally correlated sources with distinct spectra. Correntropy is a generalised correlation function between two random processes. Unlike the conventional correlation function, the correntropy function contains both the higher-order statistics and temporal structure of the random processes. Motivated by the property of the correntropy, we propose a blind channel estimator based on correntropy ICA for MIMO-OFDM and show that its performance is better than that of SOBI based method. To the best of our knowledge, this is the first work which applies correntropy ICA in blind MIMOOFDM channel estimation. 2013-08 Thesis http://shdl.mmu.edu.my/5897/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Engineering and Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering Al-Aghbari, Khaled Abdulaziz Robust blind channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing
description	Blind channel estimation for MIMO-OFDM systems based on blind source separation (BSS) is currently an active area of research. A blind channel estimator for MIMO-OFDM systems using second-order blind identification (SOBI) algorithm was previously presented in the literature. The SOBI algorithm relies only on the second-order statistics (e.g., correlation) of the received signal. It is well known that second-order statistics is not sufficient for BSS. Recently, a BSS algorithm based on correntropy independent components analysis (ICA) was formulated for separating both independent and identically distributed (i.i.d) sources and temporally correlated sources with distinct spectra. Correntropy is a generalised correlation function between two random processes. Unlike the conventional correlation function, the correntropy function contains both the higher-order statistics and temporal structure of the random processes. Motivated by the property of the correntropy, we propose a blind channel estimator based on correntropy ICA for MIMO-OFDM and show that its performance is better than that of SOBI based method. To the best of our knowledge, this is the first work which applies correntropy ICA in blind MIMOOFDM channel estimation.
format	Thesis
qualification_level	Master's degree
author	Al-Aghbari, Khaled Abdulaziz
author_facet	Al-Aghbari, Khaled Abdulaziz
author_sort	Al-Aghbari, Khaled Abdulaziz
title	Robust blind channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing
title_short	Robust blind channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing
title_full	Robust blind channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing
title_fullStr	Robust blind channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing
title_full_unstemmed	Robust blind channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing
title_sort	robust blind channel estimation for multiple-input multiple-output orthogonal frequency-division multiplexing
granting_institution	Multimedia University
granting_department	Faculty of Engineering and Technology
publishDate	2013
_version_	1747829598459002880

Robust blind channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing

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