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Acoustic pressure and particle velocity for spatial filtering of bottom arrivals

dc.contributor.authorFelisberto, Paulo
dc.contributor.authorSantos, P. J.
dc.contributor.authorJesus, Sergio
dc.date.accessioned2019-03-22T15:51:18Z
dc.date.available2019-03-22T15:51:18Z
dc.date.issued2019
dc.description.abstractThis paper discusses the advantages of using a combination of acoustic pressure and particle velocitymotion for filtering bottom arrivals. A possible area of application is reflection seismology where, traditionally, the seismic image is extracted from the bottom-reflected broadband acoustic signals received on hydrophones. Since hydrophones are omnidirectional in nature, the received bottom returns are often contaminated by waterborne signals, sea surface reflections, and noise. A substantial part of the processing of the data is dedicated to filtering out these unwanted signals. Today, vector sensors allow us to measure both acoustic pressure and particle velocity motion in a single and compact sensor. The combination of pressure and particle velocity measured at a single location or particle velocity and particle velocity gradient at closely spaced locations allows for spatial beam steering to predetermined directions and filter out unwanted replicas from other directions. Moreover, this can be done at the sensor level, dramatically decreasing the offline processing. The spatial filtering capabilities of various pressure-pressure, particle velocity-particle velocity, and pressure-particle velocity combinations are analyzed in view of filtering the bottom arrivals. It is shown that the combination of pressure and vertical particle velocity and, particularly, the combination of vertical particle velocity and particle velocity gradient enhance bottom arrivals. Moreover, a simple steering procedure combining pressure and particle velocity components of a triaxial sensor allows us to determine the tridimensional structure of the acoustic field and the separation of the bottom reflections. The spatial selectivity of the various sensor combinations is shown with simulations and verified with experimental data acquired with 10 cm separated vector sensors in the 800-1250-Hz band, during the Makai 2005 sea trial, off Kauai Island, HI, USA.pt_PT
dc.description.sponsorshipThis work was supported by the European Union H2020 Research Program under WiMUST Project (Contract 645141).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/JOE.2018.2807898pt_PT
dc.identifier.issn0364-9059
dc.identifier.urihttp://hdl.handle.net/10400.1/12429
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relationWidely scalable Mobile Underwater Sonar Technology
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectGeophysical signal processingpt_PT
dc.subjectSeismic measurementspt_PT
dc.subjectSpatial filteringpt_PT
dc.subjectUnderwater acoustic vector sensor (VS)pt_PT
dc.titleAcoustic pressure and particle velocity for spatial filtering of bottom arrivalspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleWidely scalable Mobile Underwater Sonar Technology
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/645141/EU
oaire.citation.endPage192pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage179pt_PT
oaire.citation.titleIEEE Journal of Oceanic Engineeringpt_PT
oaire.citation.volume44pt_PT
oaire.fundingStreamH2020
person.familyNameFelisberto
person.familyNameJorge Maia dos Santos
person.familyNameJesus
person.givenNamePaulo
person.givenNamePaulo
person.givenNameSergio
person.identifier79549
person.identifier.ciencia-idD411-CBA8-85B8
person.identifier.ciencia-idF91F-B793-622A
person.identifier.orcid0000-0001-7542-4332
person.identifier.orcid0000-0002-0400-3298
person.identifier.orcid0000-0002-6021-1761
person.identifier.ridM-9474-2013
person.identifier.scopus-author-id6508039890
person.identifier.scopus-author-id55490343300
person.identifier.scopus-author-id7003729485
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication6574c278-a803-4dbe-9140-4cd8272027db
relation.isAuthorOfPublication86c75c82-e755-44cb-abbc-4a63f4e7d52b
relation.isAuthorOfPublicatione0226ece-3767-4beb-ab80-868e8897c14a
relation.isAuthorOfPublication.latestForDiscoverye0226ece-3767-4beb-ab80-868e8897c14a
relation.isProjectOfPublication23779886-721e-4844-9c0c-b73f53dbc6e3
relation.isProjectOfPublication.latestForDiscovery23779886-721e-4844-9c0c-b73f53dbc6e3

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