Using Position Uncertainty in Recursive Automatic Target Classification of Radar Tracks

Lars Wurtz Jochumsen, Esben Nielsen, Jan Østergaard, Søren Holdt Jensen, Morten Pedersen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

2 Citationer (Scopus)

Abstrakt

In this paper, we show how radar plot uncertainty can be included leading to a more robust classification of targets observed by a rotating 2D radar. Targets far from the radar will have a greater uncertainty in the position and therefore the estimated speed of the targets will be more uncertain. The uncertainty is sensor dependent and will therefore need to be taken into account when classifying based on training data from multiple different sources. Including the uncertainty in the radar plot positions, leads to an improved estimate of the probability of a target belonging to any given class in a list of possible classes. We show results for two synthetically generated cases, where we include the uncertainty and from a real world radar scenario.
OriginalsprogEngelsk
TitelIEEE Radar Conference (RadarCon), 2015
ForlagIEEE Press
Publikationsdato2015
Sider0168 - 0173
ISBN (Trykt)978-1-4799-8231-8, 978-1·4799-8232-5
DOI
StatusUdgivet - 2015
Begivenhed2015 IEEE Radar Conference (RadarCon) - Arlington, VA, USA
Varighed: 10 maj 201515 maj 2015

Konference

Konference2015 IEEE Radar Conference (RadarCon)
LandUSA
ByArlington, VA
Periode10/05/201515/05/2015
NavnInternational Radar Conference. Proceedings

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