An improved indoor location technique using Kalman Filter

Indoor positioning technique is used to trace location of entities within a nonspace environment riding from the incapability of GPS to do so. Most of indoor localization techniques proposed by researchers aimed at discovering an optimized solution for indoor location tracking with high precision an...

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Main Authors: Fariz N., Jamil N., Din M.M., Rusli M.E., Sharudin Z., Mohamed M.A.
Other Authors: 57201613639
Format: Article
Published: Science Publishing Corporation Inc 2023
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spelling my.uniten.dspace-242082023-05-29T14:56:59Z An improved indoor location technique using Kalman Filter Fariz N. Jamil N. Din M.M. Rusli M.E. Sharudin Z. Mohamed M.A. 57201613639 36682671900 55348871200 16246214600 57201617898 57194596063 Indoor positioning technique is used to trace location of entities within a nonspace environment riding from the incapability of GPS to do so. Most of indoor localization techniques proposed by researchers aimed at discovering an optimized solution for indoor location tracking with high precision and accuracy. This paper proposes an improved indoor location technique by implementing Trilateration and Kalman Filter technique that can manipulate noise signal deduced from raw Received Signal Strength Indicator (RSSI). Upon implementing the technique, observation and comparison are made to measure the effectiveness and reliability of the enhanced Kalman Filter in tracking indoor positioning. Our analysis and finding shows that the enhanced indoor positioning technique improves the accuracy significantly. � 2018 Authors. Final 2023-05-29T06:56:59Z 2023-05-29T06:56:59Z 2018 Article 10.14419/ijet.v7i2.14.11141 2-s2.0-85045415508 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045415508&doi=10.14419%2fijet.v7i2.14.11141&partnerID=40&md5=8d2f7ebd419fcd8c58b49923814b1207 https://irepository.uniten.edu.my/handle/123456789/24208 7 2 1 4 Science Publishing Corporation Inc Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Indoor positioning technique is used to trace location of entities within a nonspace environment riding from the incapability of GPS to do so. Most of indoor localization techniques proposed by researchers aimed at discovering an optimized solution for indoor location tracking with high precision and accuracy. This paper proposes an improved indoor location technique by implementing Trilateration and Kalman Filter technique that can manipulate noise signal deduced from raw Received Signal Strength Indicator (RSSI). Upon implementing the technique, observation and comparison are made to measure the effectiveness and reliability of the enhanced Kalman Filter in tracking indoor positioning. Our analysis and finding shows that the enhanced indoor positioning technique improves the accuracy significantly. � 2018 Authors.
author2 57201613639
author_facet 57201613639
Fariz N.
Jamil N.
Din M.M.
Rusli M.E.
Sharudin Z.
Mohamed M.A.
format Article
author Fariz N.
Jamil N.
Din M.M.
Rusli M.E.
Sharudin Z.
Mohamed M.A.
spellingShingle Fariz N.
Jamil N.
Din M.M.
Rusli M.E.
Sharudin Z.
Mohamed M.A.
An improved indoor location technique using Kalman Filter
author_sort Fariz N.
title An improved indoor location technique using Kalman Filter
title_short An improved indoor location technique using Kalman Filter
title_full An improved indoor location technique using Kalman Filter
title_fullStr An improved indoor location technique using Kalman Filter
title_full_unstemmed An improved indoor location technique using Kalman Filter
title_sort improved indoor location technique using kalman filter
publisher Science Publishing Corporation Inc
publishDate 2023
_version_ 1806426174680727552
score 13.214268