Square-root formulation of the SVSF with applications to nonlinear target tracking problems

dc.contributor.author	Gadsden SA
dc.contributor.author	Al-Shabi M
dc.contributor.author	Kirubarajan T
dc.contributor.department	Mechanical Engineering
dc.contributor.editor	Kadar I
dc.date.accessioned	2025-02-27T20:11:55Z
dc.date.available	2025-02-27T20:11:55Z
dc.date.issued	2015-05-21
dc.date.updated	2025-02-27T20:11:55Z
dc.description.abstract	The smooth variable structure filter (SVSF) is a state and parameter estimation strategy based on sliding mode concepts. It has seen significant development and research activity in recent years. In an effort to improve upon the numerical stability of the SVSF, a square-root formulation is derived. The square-root SVSF is based on Potter's algorithm. The proposed formulation is computationally more efficient and reduces the risks of failure due to numerical instability. The new strategy is applied on target tracking scenarios for the purposes of state estimation. The results are compared with the popular Kalman filter.
dc.identifier.doi	https://doi.org/10.1117/12.2177226
dc.identifier.issn	0277-786X
dc.identifier.issn	1996-756X
dc.identifier.uri	http://hdl.handle.net/11375/31225
dc.publisher	SPIE, the international society for optics and photonics
dc.subject	40 Engineering
dc.subject	4006 Communications Engineering
dc.subject	4009 Electronics, Sensors and Digital Hardware
dc.subject	51 Physical Sciences
dc.subject	5102 Atomic, Molecular and Optical Physics
dc.title	Square-root formulation of the SVSF with applications to nonlinear target tracking problems
dc.type	Article

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