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Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique

This paper proposes the correction of faulty sensors using a synthesis of the greedy sparse constrained optimization GSCO) technique. The failure of sensors can damage the radiation power pattern in terms of sidelobes and nulls. The synthesis problem can recover the wanted power pattern with reduced...

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Detalles Bibliográficos
Autores principales: Khan, Shafqat Ullah, Rahim, M. K. A., Aminu-Baba, Murtala, Murad, N. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734759/
https://www.ncbi.nlm.nih.gov/pubmed/29253852
http://dx.doi.org/10.1371/journal.pone.0189240
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author Khan, Shafqat Ullah
Rahim, M. K. A.
Aminu-Baba, Murtala
Murad, N. A.
author_facet Khan, Shafqat Ullah
Rahim, M. K. A.
Aminu-Baba, Murtala
Murad, N. A.
author_sort Khan, Shafqat Ullah
collection PubMed
description This paper proposes the correction of faulty sensors using a synthesis of the greedy sparse constrained optimization GSCO) technique. The failure of sensors can damage the radiation power pattern in terms of sidelobes and nulls. The synthesis problem can recover the wanted power pattern with reduced number of sensors into the background of greedy algorithm and solved with orthogonal matching pursuit (OMP) technique. Numerical simulation examples of linear arrays are offered to demonstrate the effectiveness of getting the wanted power pattern with a reduced number of antenna sensors which is compared with the available techniques in terms of sidelobes level and number of nulls.
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spelling pubmed-57347592017-12-22 Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique Khan, Shafqat Ullah Rahim, M. K. A. Aminu-Baba, Murtala Murad, N. A. PLoS One Research Article This paper proposes the correction of faulty sensors using a synthesis of the greedy sparse constrained optimization GSCO) technique. The failure of sensors can damage the radiation power pattern in terms of sidelobes and nulls. The synthesis problem can recover the wanted power pattern with reduced number of sensors into the background of greedy algorithm and solved with orthogonal matching pursuit (OMP) technique. Numerical simulation examples of linear arrays are offered to demonstrate the effectiveness of getting the wanted power pattern with a reduced number of antenna sensors which is compared with the available techniques in terms of sidelobes level and number of nulls. Public Library of Science 2017-12-18 /pmc/articles/PMC5734759/ /pubmed/29253852 http://dx.doi.org/10.1371/journal.pone.0189240 Text en © 2017 Khan et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Khan, Shafqat Ullah
Rahim, M. K. A.
Aminu-Baba, Murtala
Murad, N. A.
Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique
title Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique
title_full Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique
title_fullStr Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique
title_full_unstemmed Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique
title_short Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique
title_sort correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734759/
https://www.ncbi.nlm.nih.gov/pubmed/29253852
http://dx.doi.org/10.1371/journal.pone.0189240
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