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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Science Publishing Corporation Inc
2023
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| _version_ | 1833409774020984832 |
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| author | Fariz N. Jamil N. Din M.M. Rusli M.E. Sharudin Z. Mohamed M.A. |
| author2 | 57201613639 |
| author_facet | 57201613639 Fariz N. Jamil N. Din M.M. Rusli M.E. Sharudin Z. Mohamed M.A. |
| author_sort | Fariz N. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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. |
| format | Article |
| id | my.uniten.dspace-24208 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Science Publishing Corporation Inc |
| record_format | dspace |
| 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 |
| spellingShingle | Fariz N. Jamil N. Din M.M. Rusli M.E. Sharudin Z. Mohamed M.A. An improved indoor location technique using Kalman Filter |
| title | 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_short | An improved indoor location technique using Kalman Filter |
| title_sort | improved indoor location technique using kalman filter |
| url_provider | http://dspace.uniten.edu.my/ |