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Aircraft Tracking Using a Radar and the Smooth Variable Structure Filter

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dc.contributor.authorGadsden SA
dc.contributor.authorHabibi SR
dc.contributor.departmentMechanical Engineering
dc.date.accessioned2025-02-27T19:16:12Z
dc.date.available2025-02-27T19:16:12Z
dc.date.issued2009-06-04
dc.date.updated2025-02-27T19:16:08Z
dc.description.abstractThe smooth variable structure filter (SVSF) is a predictor-corrector method used for state and parameter estimation. This paper applies the SVSF to an air traffic control problem, whereby an aircraft is tracked based on position measurements. The results of the SVSF are qualitatively compared to those of the Extended Kalman Filter (EKF). In this case, it is shown that the SVSF yields more accurate results, and is a more robust and stable estimation method.
dc.identifier.doihttps://doi.org/
dc.identifier.urihttp://hdl.handle.net/11375/31188
dc.titleAircraft Tracking Using a Radar and the Smooth Variable Structure Filter
dc.typeArticle

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