dc.contributor.author | Diamant, Roee | |
dc.contributor.author | Campagnaro, Filippo | |
dc.contributor.author | de Filippo de Grazia, Michele | |
dc.contributor.author | Testolin, Alberto | |
dc.contributor.author | Sanjuan Calzado, Violeta | |
dc.contributor.author | Zorzi, Michele | |
dc.contributor.author | Casari, Paolo | |
dc.date.accessioned | 2021-07-13T09:30:00Z | |
dc.date.available | 2021-07-13T09:30:00Z | |
dc.date.issued | 2017-09-03 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12761/405 | |
dc.description.abstract | In this paper, we are interested in finding whether a statistical relationship exists between underwater acoustics and optics, despite the different physics that govern these technologies. Besides the theoretical interest of such a relationship, predicting the quality of the optical links through acoustics is relevant for multimodal communications.
Our study is based on a large dataset acquired during the NATO ALOMEX 2015 expedition. The dataset consists of several acoustic and optical link characteristics measured at multiple locations, reflecting a diversity of sea environments. Our results, based on a systematic machine learning analysis, show a strong correlation between the properties of acoustic links and the reliability of optical communications. Potentially, this can be leveraged to predict the state of underwater optical links. | |
dc.language.iso | eng | |
dc.title | Exploring the statistical relation between the underwater acoustic and optical channels | en |
dc.type | conference object | |
dc.conference.date | 3-8 September 2017 | |
dc.conference.place | Skiathos, Greece | |
dc.conference.title | Underwater Acoustics Conference & Exhibition (UACE 2017) | * |
dc.event.type | conference | |
dc.pres.type | paper | |
dc.type.hasVersion | VoR | |
dc.rights.accessRights | open access | |
dc.subject.keyword | Underwater acoustic communications | |
dc.subject.keyword | Underwater optical communications | |
dc.subject.keyword | Multimodal systems | |
dc.subject.keyword | Machine learning | |
dc.subject.keyword | Sea Experiment | |
dc.description.refereed | TRUE | |
dc.description.status | pub | |
dc.eprint.id | http://eprints.networks.imdea.org/id/eprint/1620 | |