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Comparing the resolution of Bartlett and MVDR processors for bottom parameter estimation using pressure and vector sensor short array data

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dc.contributor.authorFelisberto, P.
dc.contributor.authorSchneiderwind, J.
dc.contributor.authorSantos, P.
dc.contributor.authorRodríguez, O. C.
dc.contributor.authorJesus, S. M.
dc.date.accessioned2014-10-08T09:23:42Z
dc.date.available2014-10-08T09:23:42Z
dc.date.issued2013
dc.description.abstractThis work compares the resolution of a pressure and vector sensor based conventional Bartlett estimator, with their MVDR estimator counterparts, in the context of bottom characterization with a short vertical array. Santos et al. [1] demonstrated the gain of a vector sensor array (VSA) based linear estimator (Bartlett) for generic parameter estimation. Moreover, it was shown that for bottom characterization the highest resolution of the estimates were achieved with the vertical particle velocity measurements alone. The present work highlights the gain in parameter resolution of a VSA based MVDR estimator. It is shown, that also for a MVDR estimator, the vector sensor array data improves the resolution of parameter estimation. But, it is also shown, through simulations, that for bottom parameter estimation, the pressure based MVDR estimator has higher resolution and sidelobe attenuation than the VSA based Bartlett estimator. These results were verified for experimental data acquired by a four element, 30 cm long vertical VSA in the 8–14 kHz band, during the Makai Experiment 2005 sea trial, off Kauai I., Hawaii (USA).por
dc.description.sponsorshipThe authors would like to thank Michael Porter, chief scientist for the Makai Experiment, Jerry Tarasek for the loan of the vector sensor array used in the experiment, Paul Hursky, Martin Siderius, and Bruce Abraham for providing assistance with the data acquisition. The Makai Experiment was supported by the U.S. Office of Naval Research. This work was funded by National Funds through FCT- Foundation for Science and Technology under project SENSOCEAN (PTDC/EEA-ELC/104561/2008).por
dc.identifier.doihttp://dx.doi.org/ 10.1109/OCEANS-Bergen.2013.6608071
dc.identifier.isbn978-1-4799-0002-2
dc.identifier.otherAUT: PFE00638; PJS01208; ORO00691;SJE00662;
dc.identifier.urihttp://hdl.handle.net/10400.1/5216
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEE Xplorepor
dc.relation.publisherversionwww.siplab.fct.ualg.pt/pubs/pfelis2.13.pdfpor
dc.subjectVector sensor arrayspor
dc.subjectBottom parameter estimationpor
dc.subjectBartlett estimatorpor
dc.subjectMDVR estimatorpor
dc.titleComparing the resolution of Bartlett and MVDR processors for bottom parameter estimation using pressure and vector sensor short array datapor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBergenpor
oaire.citation.endPage8por
oaire.citation.startPage1por
oaire.citation.titleOceans'2013por
person.familyNameFelisberto
person.familyNameJorge Maia dos Santos
person.familyNameRodríguez
person.familyNameJesus
person.givenNamePaulo
person.givenNamePaulo
person.givenNameOrlando
person.givenNameSergio
person.identifier79549
person.identifier465112
person.identifier.ciencia-idD411-CBA8-85B8
person.identifier.ciencia-idF91F-B793-622A
person.identifier.ciencia-id8E12-528F-49E5
person.identifier.orcid0000-0001-7542-4332
person.identifier.orcid0000-0002-0400-3298
person.identifier.orcid0000-0002-0375-1892
person.identifier.orcid0000-0002-6021-1761
person.identifier.ridM-9474-2013
person.identifier.ridO-6589-2015
person.identifier.scopus-author-id6508039890
person.identifier.scopus-author-id55490343300
person.identifier.scopus-author-id7103218936
person.identifier.scopus-author-id7003729485
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication6574c278-a803-4dbe-9140-4cd8272027db
relation.isAuthorOfPublication86c75c82-e755-44cb-abbc-4a63f4e7d52b
relation.isAuthorOfPublicatione82c7fd0-c7ec-46c2-8209-2129a826e634
relation.isAuthorOfPublicatione0226ece-3767-4beb-ab80-868e8897c14a
relation.isAuthorOfPublication.latestForDiscoverye0226ece-3767-4beb-ab80-868e8897c14a

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