Adopting Centroid and Amended Trilateration for better accuracy of range-based non-GPS localization

Global positioning system; Kalman filters; Surveying; Tall buildings; Centroid localization algorithms; Indoor localization; RSSI; Trilateration; Wi-Fi - Technology; Indoor positioning systems

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Bibliographic Details
Main Authors: Md Din M., Jamil N., Nik Ahmad Aziz N.F.
Other Authors: 55348871200
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-236332023-05-29T14:50:38Z Adopting Centroid and Amended Trilateration for better accuracy of range-based non-GPS localization Md Din M. Jamil N. Nik Ahmad Aziz N.F. 55348871200 36682671900 57204777908 Global positioning system; Kalman filters; Surveying; Tall buildings; Centroid localization algorithms; Indoor localization; RSSI; Trilateration; Wi-Fi - Technology; Indoor positioning systems There has been massive amount of research have been conducted in the area of indoor positioning systems specifically it's upwards research trending in Localization Based Services (LBS) within a non-open space environment or in the vicinity of high rise buildings due to the incapability of Global Positioning System (GPS) to do so. Most of the indoor localization techniques proposed by researchers to discover an optimized solution for indoor location tracking that has high precision and accuracy. This paper proposes a model for better accuracy on range-based localization algorithm in non-GPS positioning systems. The proposed model adopts the enhanced Kalman Filter (KF) and Centroid Localization Algorithm that can manipulate noise signal from raw Received Signal Strength Indicator (RSSI). There are 12 tests conducted in two different environments; at the area with less-obstacles and at the area with more obstacles. Three different algorithms are deployed with and without KF where a series of observations and comparisons are made to measure the effectiveness and reliability of KF implementation. Our analysis and finding show that the proposed model improves the accuracy percentage by more than 80%. � 2018 IEEE. Final 2023-05-29T06:50:38Z 2023-05-29T06:50:38Z 2018 Conference Paper 10.1109/ICCOINS.2018.8510605 2-s2.0-85057119153 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057119153&doi=10.1109%2fICCOINS.2018.8510605&partnerID=40&md5=2cf5051fa7253f2b6d60eaae201225fd https://irepository.uniten.edu.my/handle/123456789/23633 8510605 Institute of Electrical and Electronics Engineers 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 Global positioning system; Kalman filters; Surveying; Tall buildings; Centroid localization algorithms; Indoor localization; RSSI; Trilateration; Wi-Fi - Technology; Indoor positioning systems
author2 55348871200
author_facet 55348871200
Md Din M.
Jamil N.
Nik Ahmad Aziz N.F.
format Conference Paper
author Md Din M.
Jamil N.
Nik Ahmad Aziz N.F.
spellingShingle Md Din M.
Jamil N.
Nik Ahmad Aziz N.F.
Adopting Centroid and Amended Trilateration for better accuracy of range-based non-GPS localization
author_sort Md Din M.
title Adopting Centroid and Amended Trilateration for better accuracy of range-based non-GPS localization
title_short Adopting Centroid and Amended Trilateration for better accuracy of range-based non-GPS localization
title_full Adopting Centroid and Amended Trilateration for better accuracy of range-based non-GPS localization
title_fullStr Adopting Centroid and Amended Trilateration for better accuracy of range-based non-GPS localization
title_full_unstemmed Adopting Centroid and Amended Trilateration for better accuracy of range-based non-GPS localization
title_sort adopting centroid and amended trilateration for better accuracy of range-based non-gps localization
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427724927991808
score 13.19449