Indoor localization system based on UWB sensors to determine the change of path

Indoor positioning is currently gaining attention as sensing the positions indoors requires high precision and it is quite challenging as objects deflect signals. Many techniques for indoor positioning have been devised but still reliable positioning is difficult to achieve. UWB is an emerging techn...

Full description

Saved in:
Bibliographic Details
Main Author: Suresh, Mahalakshmi
Other Authors: Soh Yeng Chai
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78458
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-78458
record_format dspace
spelling sg-ntu-dr.10356-784582023-07-04T16:07:07Z Indoor localization system based on UWB sensors to determine the change of path Suresh, Mahalakshmi Soh Yeng Chai School of Electrical and Electronic Engineering Energy Research Group DRNTU::Engineering::Electrical and electronic engineering Indoor positioning is currently gaining attention as sensing the positions indoors requires high precision and it is quite challenging as objects deflect signals. Many techniques for indoor positioning have been devised but still reliable positioning is difficult to achieve. UWB is an emerging technique that has shown high performance compared to other techniques. Both narrow and wide-band systems are used for short-range positioning using UWB. UWB is proven to be an effective Indoor Positioning Technique where it produces promising results. The mechanism of the entire system with its hardware documentation is explained. The time difference of arrival technique is utilized for position estimation. Experimental results of the Indoor Positioning Systems are also provided. This dissertation provides the estimation of number of users present indoors, their duration of presence indoors, detecting the change of path movement of the users and finally classifying the data using Machine Learning Algorithms. The dissertation presents the comparison of classification algorithms in terms of predicted accuracy, root means square error, and error rate. Secondly, methods for estimating positions using UWB are discussed, and in addition there are discussions about the DW1000 UWB Transceivers and its key features are stated. The dissertation finally shows practical Real Time Location Systems and its implementation in an indoor environment. Finally, the thesis showcases the overview of the Indoor Positioning Systems, its various positioning techniques, the different positioning algorithms and implementations of the UWB Indoor Positioning Systems which will keep all researchers and practitioners up-to-date of the recent developments. Master of Science (Computer Control and Automation) 2019-06-20T04:56:06Z 2019-06-20T04:56:06Z 2019 Thesis http://hdl.handle.net/10356/78458 en 65 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Suresh, Mahalakshmi
Indoor localization system based on UWB sensors to determine the change of path
description Indoor positioning is currently gaining attention as sensing the positions indoors requires high precision and it is quite challenging as objects deflect signals. Many techniques for indoor positioning have been devised but still reliable positioning is difficult to achieve. UWB is an emerging technique that has shown high performance compared to other techniques. Both narrow and wide-band systems are used for short-range positioning using UWB. UWB is proven to be an effective Indoor Positioning Technique where it produces promising results. The mechanism of the entire system with its hardware documentation is explained. The time difference of arrival technique is utilized for position estimation. Experimental results of the Indoor Positioning Systems are also provided. This dissertation provides the estimation of number of users present indoors, their duration of presence indoors, detecting the change of path movement of the users and finally classifying the data using Machine Learning Algorithms. The dissertation presents the comparison of classification algorithms in terms of predicted accuracy, root means square error, and error rate. Secondly, methods for estimating positions using UWB are discussed, and in addition there are discussions about the DW1000 UWB Transceivers and its key features are stated. The dissertation finally shows practical Real Time Location Systems and its implementation in an indoor environment. Finally, the thesis showcases the overview of the Indoor Positioning Systems, its various positioning techniques, the different positioning algorithms and implementations of the UWB Indoor Positioning Systems which will keep all researchers and practitioners up-to-date of the recent developments.
author2 Soh Yeng Chai
author_facet Soh Yeng Chai
Suresh, Mahalakshmi
format Theses and Dissertations
author Suresh, Mahalakshmi
author_sort Suresh, Mahalakshmi
title Indoor localization system based on UWB sensors to determine the change of path
title_short Indoor localization system based on UWB sensors to determine the change of path
title_full Indoor localization system based on UWB sensors to determine the change of path
title_fullStr Indoor localization system based on UWB sensors to determine the change of path
title_full_unstemmed Indoor localization system based on UWB sensors to determine the change of path
title_sort indoor localization system based on uwb sensors to determine the change of path
publishDate 2019
url http://hdl.handle.net/10356/78458
_version_ 1772827571125223424