Seabed geoacoustic characterization with a vector sensor array
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.1/1628 |
Resumo: | This paper proposes a vector sensor measurement model and the related Bartlett estimator based on particle velocity measurements for generic parameter estimation, illustrating the advantages of the Vector Sensor Array VSA . A reliable estimate of the seabed properties such as sediment compressional speed, density and compressional attenuation based on matched-field inversion MFI techniques can be achieved using a small aperture VSA. It is shown that VSAs improve the resolution of seabed parameter estimation when compared with pressure sensor arrays with the same number of sensors. The data considered herein was acquired by a four-element VSA in the 8–14 kHz band, during the Makai Experiment in 2005. The results obtained with the MFI technique are compared with those obtained with a method proposed by C. Harrison, which determines the bottom reflection loss as the ratio between the upward and downward beam responses. The results show a good agreement and are in line with the historical information for the area. The particle velocity information provided by the VSA increases significantly the resolution of seabed parameter estimation and in some cases reliable results are obtained using only the vertical component of the particle velocity. |
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spelling |
Seabed geoacoustic characterization with a vector sensor arrayThis paper proposes a vector sensor measurement model and the related Bartlett estimator based on particle velocity measurements for generic parameter estimation, illustrating the advantages of the Vector Sensor Array VSA . A reliable estimate of the seabed properties such as sediment compressional speed, density and compressional attenuation based on matched-field inversion MFI techniques can be achieved using a small aperture VSA. It is shown that VSAs improve the resolution of seabed parameter estimation when compared with pressure sensor arrays with the same number of sensors. The data considered herein was acquired by a four-element VSA in the 8–14 kHz band, during the Makai Experiment in 2005. The results obtained with the MFI technique are compared with those obtained with a method proposed by C. Harrison, which determines the bottom reflection loss as the ratio between the upward and downward beam responses. The results show a good agreement and are in line with the historical information for the area. The particle velocity information provided by the VSA increases significantly the resolution of seabed parameter estimation and in some cases reliable results are obtained using only the vertical component of the particle velocity.Acoustical Society of AmericaSapientiaSantos, P.Rodríguez, O. C.Felisberto, P.Jesus, S. M.2012-09-14T15:54:06Z2010-112010-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/1628eng0001-4966AUT: PFE00638; SJE00662; ORO00691; PJS01028;http://dx.doi.org/10.1121/1.3488305info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:12:41Zoai:sapientia.ualg.pt:10400.1/1628Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:55:44.392784Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Seabed geoacoustic characterization with a vector sensor array |
title |
Seabed geoacoustic characterization with a vector sensor array |
spellingShingle |
Seabed geoacoustic characterization with a vector sensor array Santos, P. |
title_short |
Seabed geoacoustic characterization with a vector sensor array |
title_full |
Seabed geoacoustic characterization with a vector sensor array |
title_fullStr |
Seabed geoacoustic characterization with a vector sensor array |
title_full_unstemmed |
Seabed geoacoustic characterization with a vector sensor array |
title_sort |
Seabed geoacoustic characterization with a vector sensor array |
author |
Santos, P. |
author_facet |
Santos, P. Rodríguez, O. C. Felisberto, P. Jesus, S. M. |
author_role |
author |
author2 |
Rodríguez, O. C. Felisberto, P. Jesus, S. M. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
Santos, P. Rodríguez, O. C. Felisberto, P. Jesus, S. M. |
description |
This paper proposes a vector sensor measurement model and the related Bartlett estimator based on particle velocity measurements for generic parameter estimation, illustrating the advantages of the Vector Sensor Array VSA . A reliable estimate of the seabed properties such as sediment compressional speed, density and compressional attenuation based on matched-field inversion MFI techniques can be achieved using a small aperture VSA. It is shown that VSAs improve the resolution of seabed parameter estimation when compared with pressure sensor arrays with the same number of sensors. The data considered herein was acquired by a four-element VSA in the 8–14 kHz band, during the Makai Experiment in 2005. The results obtained with the MFI technique are compared with those obtained with a method proposed by C. Harrison, which determines the bottom reflection loss as the ratio between the upward and downward beam responses. The results show a good agreement and are in line with the historical information for the area. The particle velocity information provided by the VSA increases significantly the resolution of seabed parameter estimation and in some cases reliable results are obtained using only the vertical component of the particle velocity. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-11 2010-11-01T00:00:00Z 2012-09-14T15:54:06Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.1/1628 |
url |
http://hdl.handle.net/10400.1/1628 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0001-4966 AUT: PFE00638; SJE00662; ORO00691; PJS01028; http://dx.doi.org/10.1121/1.3488305 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Acoustical Society of America |
publisher.none.fl_str_mv |
Acoustical Society of America |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799133160376631296 |