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On the performance of geo-acoustic estimation for a distributed sensor array

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dc.contributor.authorJesus, Sergio
dc.contributor.authorMantouka, A.
dc.contributor.authorFelisberto, Paulo
dc.contributor.authorSoares, Cristiano
dc.date.accessioned2019-11-20T15:07:55Z
dc.date.available2019-11-20T15:07:55Z
dc.date.issued2017
dc.description.abstractThe vision underlying the Widely scalable Mobile Underwater Sonar Technology (WiMUST) project is that of developing advanced cooperative and networked control / navigation systems to enable a large number (tenths) of marine robots towing small acoustic arrays to act as a coordinated team for seismic sub-bottom imaging. The space-time coherent processing of bottom returns requires the ensemble of short acoustic arrays to be seen as a single spatially distributed sensor array. Since the vehicles are free to move along range, cross-range and depth the resulting distributed sensor array may take, at least conceptually, any spatial shape. With array shape freedom comes the question of which is the most suitable (or optimal) array geometry for sub-bottom imaging and inversion. The answer to this question hinges, among others, on the definition of performance of a seismic sub-bottom profiling system. Determining the optimal sensor array geometry is clearly a ill-posed problem, since the optimal geometry is itself bottom dependent, and there is no such environment as "one size fits all". This work addresses several criteria for sub-bottom profiling system performance including gain, resolution and probability of detection. Two physical models will be tested: one based on acoustic wave reflection used in traditional seismic imaging, and another normally used in matched-field bottom properties estimation, that includes propagation and refraction. Simulations to support the theoretical developments and algorithms were obtained on a scenario inspired in a real environment off the coast of Peljesac (Croatia).
dc.description.sponsorshipEuropean Union [ICT-645141]
dc.identifier.isbn978-1-5090-5278-3
dc.identifier.issn0197-7385
dc.identifier.urihttp://hdl.handle.net/10400.1/13275
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIeee
dc.relationWidely scalable Mobile Underwater Sonar Technology
dc.relation.ispartofseriesOCEANS-IEEE
dc.subjectInversion
dc.titleOn the performance of geo-acoustic estimation for a distributed sensor array
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleWidely scalable Mobile Underwater Sonar Technology
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/645141/EU
oaire.citation.conferencePlaceAberdeen, ENGLAND
oaire.citation.titleOceans 2017 - Aberdeen
oaire.citation.titleOceans Aberdeen Conference
oaire.fundingStreamH2020
person.familyNameJesus
person.familyNameFelisberto
person.familyNameSOARES
person.givenNameSergio
person.givenNamePaulo
person.givenNameCRISTIANO
person.identifier79549
person.identifier.ciencia-idD411-CBA8-85B8
person.identifier.orcid0000-0002-6021-1761
person.identifier.orcid0000-0001-7542-4332
person.identifier.orcid0000-0002-2789-8506
person.identifier.ridM-9474-2013
person.identifier.scopus-author-id7003729485
person.identifier.scopus-author-id6508039890
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsrestrictedAccess
rcaap.typeconferenceObject
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relation.isAuthorOfPublication6574c278-a803-4dbe-9140-4cd8272027db
relation.isAuthorOfPublication21359474-b0e6-4d62-a0b1-fa87a750b1ca
relation.isAuthorOfPublication.latestForDiscovery21359474-b0e6-4d62-a0b1-fa87a750b1ca
relation.isProjectOfPublication23779886-721e-4844-9c0c-b73f53dbc6e3
relation.isProjectOfPublication.latestForDiscovery23779886-721e-4844-9c0c-b73f53dbc6e3

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