A Clustering-Based Approach for Improving the Accuracy of UWB Sensor-Based Indoor Positioning System
Joint Authors
Arsan, Taner
Hameez, Mohammed Muwafaq Noori
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Telecommunications Engineering
Abstract EN
There are several methods which can be used to locate an object or people in an indoor location.
Ultra-wideband (UWB) is a specifically promising indoor positioning technology because of its high accuracy, resistance to interference, and better penetration.
This study aims to improve the accuracy of the UWB sensor-based indoor positioning system.
To achieve that, the proposed system is trained by using the K-means algorithm with an additional average silhouette method.
This helps us to define the optimal number of clusters to be used by the K-means algorithm based on the value of the silhouette coefficient.
Fuzzy c-means and mean shift algorithms are added for comparison purposes.
This paper also introduces the impact of the Kalman filter while using the measured UWB test points as an input for the Kalman filter in order to obtain a better estimation of the position.
As a result, the average localization error is reduced by 43.26% (from 16.3442 cm to 9.2745 cm) when combining the K-means algorithm with the Kalman filter in which the Kalman-filtered UWB-measured test points are used as an input for the proposed system.
American Psychological Association (APA)
Arsan, Taner& Hameez, Mohammed Muwafaq Noori. 2019. A Clustering-Based Approach for Improving the Accuracy of UWB Sensor-Based Indoor Positioning System. Mobile Information Systems،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1193847
Modern Language Association (MLA)
Arsan, Taner& Hameez, Mohammed Muwafaq Noori. A Clustering-Based Approach for Improving the Accuracy of UWB Sensor-Based Indoor Positioning System. Mobile Information Systems No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1193847
American Medical Association (AMA)
Arsan, Taner& Hameez, Mohammed Muwafaq Noori. A Clustering-Based Approach for Improving the Accuracy of UWB Sensor-Based Indoor Positioning System. Mobile Information Systems. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1193847
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193847