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Understanding The Performance Of Zero Velocity Updates In Mems-based Pedestrian Navigation

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dc.contributor.authorKhairi Abdulrahimen_US
dc.contributor.authorTerry Mooreen_US
dc.contributor.authorChris Hideen_US
dc.contributor.authorChris Hillen_US
dc.date.accessioned2024-05-28T04:24:42Z
dc.date.available2024-05-28T04:24:42Z
dc.date.issued2014
dc.date.submitted--
dc.descriptionVol. 5. No. 2 (March 2014) © IJoATen_US
dc.description.abstractZero Velocity Update (ZUPT) is an important update to aid an autonomous inertial pedestrian navigation. The objectives of this paper are to briefly revisit the concept of ZUPT and its importance, testing it on real walking pedestrian and comparing its performance when used with either conventional ‘Dead Reckoning approach (DR)’ or with ‘Kalman Filter approach (KF)’ as either one of these approaches is commonly used in literature. Performances were analyzed further with the inclusion of two correction modes (Linearly Weighted Interpolation and Residual Velocity). Experiments were performed using a low cost Inerital Measurement Unit (IMU) from MicroStrain (3DM-GX1). It was shown that the KF approach outperformed DRonly approach, but comparable performance with KF was noticed when DR is combined with correction mode. Finally, a combination of RV correction mode with forward KF solution was shown to improve the position outputen_US
dc.identifier.epage60
dc.identifier.issn0976-4860
dc.identifier.issue2
dc.identifier.spage53
dc.identifier.urihttps://www.longdom.org/open-access/understanding-the-performance-of-zero-velocity-updates-in-memsbased-pedestrian-navigation-0976-4860-5-53-60.pdf
dc.identifier.urihttps://www.longdom.org/abstract/understanding-the-performance-of-zero-velocity-updates-in-memsbasedpedestrian-navigation-10566.html
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/5560
dc.identifier.volume5
dc.language.isoen_USen_US
dc.publisherOMICS Internationalen_US
dc.relation.ispartofInternational Journal of Advancements in Technologyen_US
dc.subjectZUPT,en_US
dc.subjectKalman Filter,en_US
dc.subjectDead Reckoning,en_US
dc.subjectPedestrian Navigation.en_US
dc.titleUnderstanding The Performance Of Zero Velocity Updates In Mems-based Pedestrian Navigationen_US
dc.typeArticleen_US
dspace.entity.typePublication

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