Abstract
Data association is important technology which designate final destination in the target tracking. The joint probabilistic data association(JPDA) algorithm provides excellent ability to maintain track on multiple targets. Currently, it is not easily implemented in real time because of track coalescence & switch. The aim of this paper is to develop probabilistic filters that increase JPDA`s sensitivity and decrease track coalescence & switch in a cluttered environments.
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More From: Journal of the Korea Institute of Military Science and Technology
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