Radar Target Classification using Recursive Knowledge-Based Methods

Lars Wurtz Jochumsen

Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

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Resumé

The topic of this thesis is target classification of radar tracks from a 2D mechanically scanning coastal surveillance radar. The measurements provided by the radar are position data and therefore the classification is mainly based on kinematic data, which is deduced from the position. The target classes used in this work are classes, which are normal for coastal surveillance e.g.~ships, helicopters, birds etc. The classifier must be recursive as all data of a track is not present at any given moment. If all data were available, it would be too late to classify the track, as the track would have been terminated. Therefore, an update of the classification results must be made for each measurement of the target. The data for this work are collected throughout the PhD and are both collected from radars and other sensors such as GPS.
OriginalsprogEngelsk
ForlagAalborg Universitetsforlag
Antal sider133
ISBN (Elektronisk)978-87-7112-545-0
DOI
StatusUdgivet - 2016
NavnPh.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet
ISSN2246-1248

Citer dette

Jochumsen, L. W. (2016). Radar Target Classification using Recursive Knowledge-Based Methods. Aalborg Universitetsforlag. Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet https://doi.org/10.5278/vbn.phd.engsci.00096
Jochumsen, Lars Wurtz. / Radar Target Classification using Recursive Knowledge-Based Methods. Aalborg Universitetsforlag, 2016. 133 s. (Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet).
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Jochumsen, LW 2016, Radar Target Classification using Recursive Knowledge-Based Methods. Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet, Aalborg Universitetsforlag. https://doi.org/10.5278/vbn.phd.engsci.00096

Radar Target Classification using Recursive Knowledge-Based Methods. / Jochumsen, Lars Wurtz.

Aalborg Universitetsforlag, 2016. 133 s.

Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

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AB - The topic of this thesis is target classification of radar tracks from a 2D mechanically scanning coastal surveillance radar. The measurements provided by the radar are position data and therefore the classification is mainly based on kinematic data, which is deduced from the position. The target classes used in this work are classes, which are normal for coastal surveillance e.g.~ships, helicopters, birds etc. The classifier must be recursive as all data of a track is not present at any given moment. If all data were available, it would be too late to classify the track, as the track would have been terminated. Therefore, an update of the classification results must be made for each measurement of the target. The data for this work are collected throughout the PhD and are both collected from radars and other sensors such as GPS.

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Jochumsen LW. Radar Target Classification using Recursive Knowledge-Based Methods. Aalborg Universitetsforlag, 2016. 133 s. (Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet). https://doi.org/10.5278/vbn.phd.engsci.00096