Direction Finding Using GHA Neural Networks

This paper adapted the neural network for the estimating of the direction of arrival (DOA). It uses an unsupervised adaptive neural network with GHA algorithm to extract the principal components that in turn, are used by Capon method to estimate the DOA, where by the PCA neural network we take sig...

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Autor principal:	N. H. Abbas
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2017
Materias:	Keywords: Direction of arrival (DOA), Generalized Hebbian Algorithm (GHA), Principal component analysis (PCA), Capon. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/c8f3a72fdec44a29a67afcaa68d0fd16
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spelling	oai:doaj.org-article:c8f3a72fdec44a29a67afcaa68d0fd162021-12-02T06:16:27ZDirection Finding Using GHA Neural Networks1818-11712312-0789https://doaj.org/article/c8f3a72fdec44a29a67afcaa68d0fd162017-12-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/5https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 This paper adapted the neural network for the estimating of the direction of arrival (DOA). It uses an unsupervised adaptive neural network with GHA algorithm to extract the principal components that in turn, are used by Capon method to estimate the DOA, where by the PCA neural network we take signal subspace only and use it in Capon (i.e. we will ignore the noise subspace, and take the signal subspace only). N. H. AbbasAl-Khwarizmi College of Engineering – University of BaghdadarticleKeywords: Direction of arrival (DOA), Generalized Hebbian Algorithm (GHA), Principal component analysis (PCA), Capon.Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 2, Iss 1 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Keywords: Direction of arrival (DOA), Generalized Hebbian Algorithm (GHA), Principal component analysis (PCA), Capon. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Keywords: Direction of arrival (DOA), Generalized Hebbian Algorithm (GHA), Principal component analysis (PCA), Capon. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 N. H. Abbas Direction Finding Using GHA Neural Networks
description	This paper adapted the neural network for the estimating of the direction of arrival (DOA). It uses an unsupervised adaptive neural network with GHA algorithm to extract the principal components that in turn, are used by Capon method to estimate the DOA, where by the PCA neural network we take signal subspace only and use it in Capon (i.e. we will ignore the noise subspace, and take the signal subspace only).
format	article
author	N. H. Abbas
author_facet	N. H. Abbas
author_sort	N. H. Abbas
title	Direction Finding Using GHA Neural Networks
title_short	Direction Finding Using GHA Neural Networks
title_full	Direction Finding Using GHA Neural Networks
title_fullStr	Direction Finding Using GHA Neural Networks
title_full_unstemmed	Direction Finding Using GHA Neural Networks
title_sort	direction finding using gha neural networks
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2017
url	https://doaj.org/article/c8f3a72fdec44a29a67afcaa68d0fd16
work_keys_str_mv	AT nhabbas directionfindingusingghaneuralnetworks
_version_	1718400017779130368

Direction Finding Using GHA Neural Networks

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