A Multi-Target Tracking Formulation of SVSF With the Joint Probabilistic Data Association Technique

dc.contributor.author	Attari M
dc.contributor.author	Gadsden SA
dc.contributor.author	Habibi SR
dc.contributor.department	Mechanical Engineering
dc.date.accessioned	2025-02-27T20:09:29Z
dc.date.available	2025-02-27T20:09:29Z
dc.date.issued	2014-10-22
dc.date.updated	2025-02-27T20:09:29Z
dc.description.abstract	Target tracking scenarios offer an interesting challenge for state and parameter estimation techniques. This paper studies a situation with multiple targets in the presence of clutter. In this paper, the relatively new smooth variable structure filter (SVSF) is combined with the joint probability data association (JPDA) technique. This new method, referred to as the JPDA-SVSF, is applied on a simple multi-target tracking problem for a proof of concept. The results are compared with the popular Kalman filter (KF).
dc.identifier.doi	https://doi.org/10.1115/dscc2014-5866
dc.identifier.isbn	978-0-7918-4619-3
dc.identifier.uri	http://hdl.handle.net/11375/31222
dc.publisher	ASME International
dc.subject	40 Engineering
dc.subject	4001 Aerospace Engineering
dc.title	A Multi-Target Tracking Formulation of SVSF With the Joint Probabilistic Data Association Technique
dc.type	Article

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