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 signa...

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Autor principal:	N. H. Abbas
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2006
Materias:	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/f41a35d4db0a430594eec423789ba399
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f41a35d4db0a430594eec423789ba399
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spelling	oai:doaj.org-article:f41a35d4db0a430594eec423789ba3992021-12-02T05:01:20ZDirection Finding Using GHA Neural Networks1818-1171https://doaj.org/article/f41a35d4db0a430594eec423789ba3992006-01-01T00:00:00Zhttp://www.iasj.net/iasj?func=fulltext&aId=2242https://doaj.org/toc/1818-1171This 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 BaghdadarticleDirection of arrival (DOA)Generalized Hebbian Algorithm (GHA)Principal component analysis (PCA)CaponChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 2, Iss 1, Pp 70-77 (2006)
institution	DOAJ
collection	DOAJ
language	EN
topic	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	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	2006
url	https://doaj.org/article/f41a35d4db0a430594eec423789ba399
work_keys_str_mv	AT nhabbas directionfindingusingghaneuralnetworks
_version_	1718400866565750784

Direction Finding Using GHA Neural Networks

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