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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主要作者: Al-Aghbari, Khaled Abdulaziz
格式: Thesis
出版: 2013
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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