Publication
Geoacoustic seafloor exploration with a towed array in a shallow water area of the Strait of Sicily (2)
dc.contributor.author | Caiti, A. | |
dc.contributor.author | Jesus, S. M. | |
dc.contributor.author | Kristensen, Age | |
dc.date.accessioned | 2014-10-07T10:59:30Z | |
dc.date.available | 2014-10-07T10:59:30Z | |
dc.date.issued | 1996 | |
dc.description.abstract | Acoustic propagation in shallow water is greatly dependent on the geoacoustic properties of the seabottom. This paper exploits this dependence for estimating geoacoustic sediment properties from the bottom acoustic returns of known signals received on a hydrophone line array. There are two major issues in this approach: one is the feasibility of acoustic inversion with a limited aperture line array, the other is related to the knowledge of the geometry of the experimental configuration. To test the feasibility of this approach, a 40-hydrophone4-m spaced towed array together with a low-frequency acoustic source, was operated at a shallow water site in the Strait of Sicily. In order to estimate the array deformation in real time, it has been equipped with a set of nonacoustic positioning sensors (compasses, tiltmeters, pressure gauges). The acoustic data were inverted using two complementary approaches: a genetic algorithm (GA) like approach and a radial basis functions (RBF) inversion scheme. More traditional methods, based on core sampling, seismic survey and geophone data, together with Hamilton’s regression curves, have also been employed on the same tracks, in order to provide a ground truth reference environment. The results of the experiment, can be summarized as follows: 1) the towed array movement is not negligible for the application considered and the use of positioning sensors are essential for a proper acoustic inversion, 2) the inversion with GA and RBF are in good qualitative agreement with the ground truth model, and 3) the GA scheme tends to have better stability properties. On the other hand, repeated inversion of successive field measurements requires much less computational effort with RBF. | por |
dc.description.sponsorship | The authors wish to acknowledge the master and crew of the RN ALLIANCE and the SACLANT Centre Engineering Department for their outstanding respective contributions in the leadership, sea-going operation and equipment preparation before and during the sea trial. The support of E. Dias and E. Coelho from the Hydrographic Institute, Lisbon, on the acquisition of the nonacoustic data and of P. Gershoft, SACLANT Centre, on genetic algorithms setup, are also appreciated. The authors wish also to express their appreciation to the anonymous reviewers, whose comments have greatly helped to reshape the second draft of this paper, and hopefully to improve its readability. | por |
dc.identifier.citation | A. Caiti, S. M. Jesus, A. Kristensen, "Geoacoustic seafloor exploration with a towed array in a shallow water area of the Strait of Sicily," IEEE J Ocean. Eng., Vol. 21, Oct 1996, pp. 355-366. | por |
dc.identifier.doi | http://dx.doi.org/ 10.1109/48.544046 | |
dc.identifier.issn | 0364-9059 | |
dc.identifier.other | AUT: SJE00662; | |
dc.identifier.uri | http://hdl.handle.net/10400.1/5203 | |
dc.language.iso | eng | por |
dc.peerreviewed | yes | por |
dc.publisher | IEEE Xplore | por |
dc.subject | Geoacoustic seafloor | por |
dc.subject | Shallow water | por |
dc.title | Geoacoustic seafloor exploration with a towed array in a shallow water area of the Strait of Sicily (2) | por |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.endPage | 366 | por |
oaire.citation.startPage | 355 | por |
oaire.citation.title | Journal of Oceanic Engineering | por |
oaire.citation.volume | 21 | por |
person.familyName | Jesus | |
person.givenName | Sergio | |
person.identifier.orcid | 0000-0002-6021-1761 | |
person.identifier.scopus-author-id | 7003729485 | |
rcaap.rights | openAccess | por |
rcaap.type | article | por |
relation.isAuthorOfPublication | e0226ece-3767-4beb-ab80-868e8897c14a | |
relation.isAuthorOfPublication.latestForDiscovery | e0226ece-3767-4beb-ab80-868e8897c14a |
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