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Feedforward Unscented Kalman Filter for INS/GPS Tightly Coupled Integration System

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dc.contributor.authorKim, Kwangjin-
dc.contributor.authorPark, Chan Gook-
dc.date.accessioned2010-01-07T01:12:02Z-
dc.date.available2010-01-07T01:12:02Z-
dc.date.issued2007-06-
dc.identifier.citationIFAC Symposium on Automatic Control in Aerospace 2007en
dc.identifier.urihttps://hdl.handle.net/10371/27575-
dc.description.abstractThis paper deals with INS/GPS tightly coupled integration algorithm using the
feedforward unscented Kalman filter (UKF). In the tightly coupled approach, nonlinear
pseudorange measurement models are used to update the Kalman filter. An EKF is
usually applied for this task, however it may diverge due to poor functional linearization
of the nonlinear measurement in case of the feedforward filter type which corrects the
navigation errors without updating the INS. The UKF that approximates a distribution
about the mean using a set of calculated sigma points is applied to overcome the flaw of
the EKF. We introduce the generalized scaled unscented transformation (GSUT) which
modifies the sigma points themselves to reduce these existence boundaries. Then, we
apply the GSUT to calculate pseudorange measurements and estimate the navigation
errors with the UKF. Real van test and simulation are carried out to estimate the
performance of the UKF-based tightly coupled algorithm with the feedforward type.
en
dc.description.sponsorshipKOSEFen
dc.language.isoenen
dc.subjectUnscented Transformationen
dc.subjectUnscented Kalman Filteren
dc.subjectFeedforwarden
dc.subjectTightly Coupleden
dc.titleFeedforward Unscented Kalman Filter for INS/GPS Tightly Coupled Integration Systemen
dc.typeConference Paperen
dc.contributor.AlternativeAuthor김광진-
dc.contributor.AlternativeAuthor박찬국-
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Others_기계항공공학부
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