Blind recognition of real orthogonal STBC based on independent component analysis

A method for blind recognition of orthogonal space-time block coding (OSTBC) based on independent component analysis (ICA) was proposed.Firstly,the model of received signal was given.And then independent component analysis technology was used to separate the virtual channel matrix which contains cod...

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Main Authors: Zhi-jin ZHAO, Lin CHEN, Hai-quan WANG, Lei SHEN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2012-11-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.11.001/
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author Zhi-jin ZHAO
Lin CHEN
Hai-quan WANG
Lei SHEN
author_facet Zhi-jin ZHAO
Lin CHEN
Hai-quan WANG
Lei SHEN
author_sort Zhi-jin ZHAO
collection DOAJ
description A method for blind recognition of orthogonal space-time block coding (OSTBC) based on independent component analysis (ICA) was proposed.Firstly,the model of received signal was given.And then independent component analysis technology was used to separate the virtual channel matrix which contains coding matrix information.Using the characteristics of coding matrix,it was proved that the correlation matrix of the virtual channel matrix in OSTBC communication systems was diagonal matrix.Finally,two characteristic parameters were proposed: sparsity and variance,which could recognize OSTBC.Simulation results demonstrated that the proposed method is able to identify OSTBC while achieves good performance.
format Article
id doaj-art-d6e0aea1368c45bca6f63d27cecdc8e0
institution Kabale University
issn 1000-436X
language zho
publishDate 2012-11-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-d6e0aea1368c45bca6f63d27cecdc8e02025-01-14T06:33:25ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-11-01331759666473Blind recognition of real orthogonal STBC based on independent component analysisZhi-jin ZHAOLin CHENHai-quan WANGLei SHENA method for blind recognition of orthogonal space-time block coding (OSTBC) based on independent component analysis (ICA) was proposed.Firstly,the model of received signal was given.And then independent component analysis technology was used to separate the virtual channel matrix which contains coding matrix information.Using the characteristics of coding matrix,it was proved that the correlation matrix of the virtual channel matrix in OSTBC communication systems was diagonal matrix.Finally,two characteristic parameters were proposed: sparsity and variance,which could recognize OSTBC.Simulation results demonstrated that the proposed method is able to identify OSTBC while achieves good performance.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.11.001/MIMO systemsorthogonal space-time block codingblind recognitionvirtual channel matrix
spellingShingle Zhi-jin ZHAO
Lin CHEN
Hai-quan WANG
Lei SHEN
Blind recognition of real orthogonal STBC based on independent component analysis
Tongxin xuebao
MIMO systems
orthogonal space-time block coding
blind recognition
virtual channel matrix
title Blind recognition of real orthogonal STBC based on independent component analysis
title_full Blind recognition of real orthogonal STBC based on independent component analysis
title_fullStr Blind recognition of real orthogonal STBC based on independent component analysis
title_full_unstemmed Blind recognition of real orthogonal STBC based on independent component analysis
title_short Blind recognition of real orthogonal STBC based on independent component analysis
title_sort blind recognition of real orthogonal stbc based on independent component analysis
topic MIMO systems
orthogonal space-time block coding
blind recognition
virtual channel matrix
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.11.001/
work_keys_str_mv AT zhijinzhao blindrecognitionofrealorthogonalstbcbasedonindependentcomponentanalysis
AT linchen blindrecognitionofrealorthogonalstbcbasedonindependentcomponentanalysis
AT haiquanwang blindrecognitionofrealorthogonalstbcbasedonindependentcomponentanalysis
AT leishen blindrecognitionofrealorthogonalstbcbasedonindependentcomponentanalysis