NLOS identification based on RSS and TOA measurement for indoor UWB localization

Ultra-Wideband (UWB) radio is a promising technology that is widely used for indoor localization. However, its positioning accuracy is deteriorated by None Line of Sight (NLOS) signal propagation, which induces a positive bias in range estimation. The ability to identify NLOS is important in a local...

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Main Author: Wang, Jiaxin
Other Authors: Law Choi Look
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/140950
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1409502023-07-04T16:30:06Z NLOS identification based on RSS and TOA measurement for indoor UWB localization Wang, Jiaxin Law Choi Look School of Electrical and Electronic Engineering ECLLAW@ntu.edu.sg Engineering::Electrical and electronic engineering::Wireless communication systems Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio Ultra-Wideband (UWB) radio is a promising technology that is widely used for indoor localization. However, its positioning accuracy is deteriorated by None Line of Sight (NLOS) signal propagation, which induces a positive bias in range estimation. The ability to identify NLOS is important in a localization system. In this project the scientific details of NLOS identification techniques for indoor UWB localization will be introduced. Proposed techniques could include measuring both the Received Signal Strength (RSS) and Time of Arrival (TOA) of the detected power delay profile. Additionally, the mitigation of the NLOS identification technique will be tested through MATLAB simulations and measurements. This project is designed and tailored towards experimental research in data analysis, signal simulation and measurements of UWB signal propagations and ranging in indoor environments. Master of Science (Communications Engineering) 2020-06-03T03:28:01Z 2020-06-03T03:28:01Z 2020 Thesis-Master by Coursework https://hdl.handle.net/10356/140950 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Wireless communication systems
Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
spellingShingle Engineering::Electrical and electronic engineering::Wireless communication systems
Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
Wang, Jiaxin
NLOS identification based on RSS and TOA measurement for indoor UWB localization
description Ultra-Wideband (UWB) radio is a promising technology that is widely used for indoor localization. However, its positioning accuracy is deteriorated by None Line of Sight (NLOS) signal propagation, which induces a positive bias in range estimation. The ability to identify NLOS is important in a localization system. In this project the scientific details of NLOS identification techniques for indoor UWB localization will be introduced. Proposed techniques could include measuring both the Received Signal Strength (RSS) and Time of Arrival (TOA) of the detected power delay profile. Additionally, the mitigation of the NLOS identification technique will be tested through MATLAB simulations and measurements. This project is designed and tailored towards experimental research in data analysis, signal simulation and measurements of UWB signal propagations and ranging in indoor environments.
author2 Law Choi Look
author_facet Law Choi Look
Wang, Jiaxin
format Thesis-Master by Coursework
author Wang, Jiaxin
author_sort Wang, Jiaxin
title NLOS identification based on RSS and TOA measurement for indoor UWB localization
title_short NLOS identification based on RSS and TOA measurement for indoor UWB localization
title_full NLOS identification based on RSS and TOA measurement for indoor UWB localization
title_fullStr NLOS identification based on RSS and TOA measurement for indoor UWB localization
title_full_unstemmed NLOS identification based on RSS and TOA measurement for indoor UWB localization
title_sort nlos identification based on rss and toa measurement for indoor uwb localization
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/140950
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