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dc.contributor.authorVivone, Gemine
dc.contributor.authorBraca, Paolo
dc.contributor.authorGranström, Karl
dc.contributor.authorNatale, Antonio
dc.contributor.authorChanussot, Jocelyn
dc.date.accessioned2019-08-20T08:00:56Z
dc.date.available2019-08-20T08:00:56Z
dc.date.issued2019/06
dc.identifier.govdocCMRE-PR-2019-109en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12489/882
dc.description.abstractConventional tracking algorithms rely upon the hypothesis of one detection per target for each frame. However, very fine spatial resolution radars represent widespread systems that provide data for which this hypothesis could be no longer valid. This problem is often called in the literature extended target tracking. In this paper we propose to use the well-established random matrix theory to deal with this issue. A suitable measurement model to address the radar's measurement noise and its conversion into Cartesian coordinates is proposed. The benefits of the proposed converted measurements - extended target tracking with regard to the problem of the targets' size estimation are demonstrated by using both simulated and real data acquired by an X-band marine radar. Average gains of 75% in the estimation of the targets' crossrange size and 31% for the along-range size are observed by comparing the proposed approach with the one that neglects the sensor's noises.en_US
dc.language.isoenen_US
dc.publisherCMREen_US
dc.sourceIn: 18th International Conference on Information Fusion, 6-9 July 2015, Washington DC, USA, pp. 976-983
dc.subjectTarget trackingen_US
dc.subjectShip trackingen_US
dc.subjectTarget sizeen_US
dc.subjectRadar targetsen_US
dc.subjectMathematical modelsen_US
dc.subjectHigh-frequency (HF) radaren_US
dc.subjectRandom matrix theoryen_US
dc.subjectSignal processingen_US
dc.subjectMaritime surveillanceen_US
dc.subjectMaritime securityen_US
dc.subjectMaritime situational awarenessen_US
dc.titleConverted measurements random matrix approach to extended target tracking using X-band marine radar dataen_US
dc.typeReprintsen_US
dc.typePapers and Articlesen_US


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