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An improved indoor location technique using combination of kalman filter and centroid positioning

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dc.citedby4
dc.contributor.authorAziz N.F.N.A.en_US
dc.contributor.authorJamil N.en_US
dc.contributor.authorDin M.M.en_US
dc.contributor.authorid57201613639en_US
dc.contributor.authorid36682671900en_US
dc.contributor.authorid55348871200en_US
dc.date.accessioned2023-05-29T07:30:41Z
dc.date.available2023-05-29T07:30:41Z
dc.date.issued2019
dc.description.abstractIndoor positioning technique is used to trace the location of entities within a non-space environment riding from the incapability of GPS to do so. Most of indoor localization techniques proposed by researchers to discover an optimized solution for indoor location tracking that has high precision and accuracy. This paper proposes an improved indoor location technique by implementing Trilateration and Kalman Filter that can manipulate noise signal reduced from raw Received Signal Strength Indicator (RSSI). This paper also proposed the uses of Centroid Positioning that be amended on top of Kalman Filter which to study whether it can improve the accuracy rate or not. Upon implementing the technique, observation and comparison are made to measure the effectiveness and reliability of the uses of Kalman Filter and Centroid Positioning. Our analysis and finding show that the enhanced indoor positioning technique has improved the accuracy tremendously. � 2019 Journal of Communications.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.12720/jcm.14.1.17-25
dc.identifier.epage25
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85061911191
dc.identifier.spage17
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85061911191&doi=10.12720%2fjcm.14.1.17-25&partnerID=40&md5=fc22cad08f344ac4f13cf3c4e8067674
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25031
dc.identifier.volume14
dc.publisherEngineering and Technology Publishingen_US
dc.sourceScopus
dc.sourcetitleJournal of Communications
dc.titleAn improved indoor location technique using combination of kalman filter and centroid positioningen_US
dc.typeArticleen_US
dspace.entity.typePublication
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