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dc.contributor.authorVivone, Gemine
dc.contributor.authorBraca, Paolo
dc.contributor.authorHorstmann, Jochen
dc.date.accessioned2019-06-27T15:50:56Z
dc.date.available2019-06-27T15:50:56Z
dc.date.issued2019/06
dc.identifier.govdocCMRE-PR-2019-138en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12489/878
dc.description.abstractIn recent years, low-power high-frequency surface-wave radars have received significant attention thanks to their over-the-horizon coverage capability and the continuous-time operation mode. These radars have become effective long-range early-warning tools for maritime situational awareness applications. In this paper a knowledge-based multi-target tracking algorithm is described. The advantages in using a prior information on ship traffic are assessed exploiting real data acquired by two high-frequency surface-wave radars. The outcomes confirm the ability of the proposed approach to better follow targets with a time-on target increment up to 30% with respect to existing methods. A reduction of the track fragmentation up to 20% is also observed.en_US
dc.format4 p. : ill. ; digital, PDF fileen_US
dc.language.isoenen_US
dc.publisherCMREen_US
dc.sourceIn: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 26-31 July 2015, Milan, Italy, pp. 326-329, doi: 10.1109/IGARSS.2015.7325766en_US
dc.subjectTarget trackingen_US
dc.subjectShip trackingen_US
dc.subjectHigh-frequency (HF) radaren_US
dc.subjectMaritime surveillanceen_US
dc.subjectSignal processingen_US
dc.titleKnowledge-based ship tracking applied to HF surface wave radar dataen_US
dc.typeReprint (PR)en_US
dc.typePapers and Articlesen_US


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