A square-root formulation of the sliding innovation filter for target tracking

dc.contributor.author	Hilal W
dc.contributor.author	Gadsden SA
dc.contributor.author	Wilkerson SA
dc.contributor.author	Al-Shabi M
dc.contributor.department	Mechanical Engineering
dc.contributor.editor	Grewe LL
dc.contributor.editor	Blasch EP
dc.contributor.editor	Kadar I
dc.date.accessioned	2025-03-03T17:29:00Z
dc.date.available	2025-03-03T17:29:00Z
dc.date.issued	2022-06-08
dc.date.updated	2025-03-03T17:29:00Z
dc.description.abstract	The sliding innovation filter (SIF) 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 SIF, a square-root formulation is derived. The square-root SIF 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/10.1117/12.2618965
dc.identifier.isbn	978-1-5106-5120-3
dc.identifier.issn	0277-786X
dc.identifier.issn	1996-756X
dc.identifier.uri	http://hdl.handle.net/11375/31316
dc.publisher	SPIE, the international society for optics and photonics
dc.subject	40 Engineering
dc.subject	4001 Aerospace Engineering
dc.title	A square-root formulation of the sliding innovation filter for target tracking
dc.type	Article

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