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dc.contributor.authorFischell, Erin M.  Concept link
dc.contributor.authorSchmidt, Henrik  Concept link
dc.date.accessioned2017-10-26T19:40:42Z
dc.date.available2017-10-26T19:40:42Z
dc.date.issued2017-09-25
dc.identifier.citationJournal of the Acoustical Society of America 142 (2017): 1587–1596en_US
dc.identifier.urihttps://hdl.handle.net/1912/9325
dc.descriptionAuthor Posting. © Acoustical Society of America, 2017. This article is posted here by permission of Acoustical Society of America for personal use, not for redistribution. The definitive version was published in Journal of the Acoustical Society of America 142 (2017): 1587–1596, doi:10.1121/1.5002887.en_US
dc.description.abstractOne application for autonomous underwater vehicles (AUVs) is detecting and classifying hazardous objects on the seabed. An acoustic approach to this problem has been studied in which an acoustic source insonifies seabed target while receiving AUVs with passive sensing payloads discriminate targets based on features of the three dimensional scattered fields. The OASES-SCATT simulator was used to study how scattering data collected by mobile receivers around targets insonified by mobile sources might be used for sphere and cylinder target characterization in terms of shape, composition, and size. The impact of target geometry on these multistatic scattering fields is explored, and a discrimination approach developed in which the source and receiver circle the target with the same radial speed. The frequency components of the multistatic scattering data at different bistatic angles are used to form models for target characteristics. Data are then classified using these models. Classification accuracies were greater than 98% for shape and composition. Regression for target volume showed potential, with 90% chance of errors less than 15%. The significance of this approach is to make classification using low-cost vehicles plausible from scattering amplitudes and the relative angles between the target, source, and receiver vehicles.en_US
dc.description.sponsorshipThis work was supported by Battelle.en_US
dc.language.isoen_USen_US
dc.publisherAcoustical Society of Americaen_US
dc.relation.urihttps://doi.org/10.1121/1.5002887
dc.titleMultistatic acoustic characterization of seabed targetsen_US
dc.typeArticleen_US


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