NLOS Identification based on UWB impulse radio measurements for precise indoor localization
Indoor Localization System is a promising system where it can be used locate the position of humans and objects in an indoor environment, typically using mobile phone applications[1]. The easiest way to describe Indoor Localization System or Indoor Positioning System (IPS) is that it is like a Globa...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/139190 |
| _version_ | 1826114840849022976 |
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| author | Chuang, Kuo Wei |
| author2 | Law Choi Look |
| author_facet | Law Choi Look Chuang, Kuo Wei |
| author_sort | Chuang, Kuo Wei |
| collection | NTU |
| description | Indoor Localization System is a promising system where it can be used locate the position of humans and objects in an indoor environment, typically using mobile phone applications[1]. The easiest way to describe Indoor Localization System or Indoor Positioning System (IPS) is that it is like a Global Positioning System (GPS) for indoor environment. Although IPS is a relatively new technology, services that leverage IPS are quickly gaining traction in places such as airports, offices, hospitals, shopping mallsand many other indoor locations where navigation can be crucial. The idea behind IPS is to precisely locate a person or an object. However, the precision of IPS can be greatly reduced by the presence of multiple obstructions in a dense indoor environment and this is a huge challenge to most of the current existing positioning systems. In this project, the focus will be on analyzing the behavior and the performance of Ultra-wideband (UWB) radio signal under different types of environment. Experiments will be conducted in environment with no obstruction for Line of Sight (LoS) signal propagation, followed by environment with obstructions for Non-line of Sight (NLOS) signal propagation. Python3 scripts are used to gather all the necessary parameters from the transceivers, these includes distance between transceivers, first path amplitude, noise level and more. Under NLOS circumstances, the measured range will be positively biased, which hinder the accuracy of the positioning system. Ray Tracing method will be used to analyze the behavior and direction of the multipaths signals in the experiment. With all the extensive experiments conducted, the positioning inaccuracy and ranging errors due to NLOS signal propagation can be concluded. |
| first_indexed | 2024-10-01T03:45:46Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/139190 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:45:46Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1391902023-07-07T18:52:55Z NLOS Identification based on UWB impulse radio measurements for precise indoor localization Chuang, Kuo Wei Law Choi Look School of Electrical and Electronic Engineering ECLLAW@ntu.edu.sg Engineering::Electrical and electronic engineering Indoor Localization System is a promising system where it can be used locate the position of humans and objects in an indoor environment, typically using mobile phone applications[1]. The easiest way to describe Indoor Localization System or Indoor Positioning System (IPS) is that it is like a Global Positioning System (GPS) for indoor environment. Although IPS is a relatively new technology, services that leverage IPS are quickly gaining traction in places such as airports, offices, hospitals, shopping mallsand many other indoor locations where navigation can be crucial. The idea behind IPS is to precisely locate a person or an object. However, the precision of IPS can be greatly reduced by the presence of multiple obstructions in a dense indoor environment and this is a huge challenge to most of the current existing positioning systems. In this project, the focus will be on analyzing the behavior and the performance of Ultra-wideband (UWB) radio signal under different types of environment. Experiments will be conducted in environment with no obstruction for Line of Sight (LoS) signal propagation, followed by environment with obstructions for Non-line of Sight (NLOS) signal propagation. Python3 scripts are used to gather all the necessary parameters from the transceivers, these includes distance between transceivers, first path amplitude, noise level and more. Under NLOS circumstances, the measured range will be positively biased, which hinder the accuracy of the positioning system. Ray Tracing method will be used to analyze the behavior and direction of the multipaths signals in the experiment. With all the extensive experiments conducted, the positioning inaccuracy and ranging errors due to NLOS signal propagation can be concluded. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-18T02:54:51Z 2020-05-18T02:54:51Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139190 en A3109-191 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Chuang, Kuo Wei NLOS Identification based on UWB impulse radio measurements for precise indoor localization |
| title | NLOS Identification based on UWB impulse radio measurements for precise indoor localization |
| title_full | NLOS Identification based on UWB impulse radio measurements for precise indoor localization |
| title_fullStr | NLOS Identification based on UWB impulse radio measurements for precise indoor localization |
| title_full_unstemmed | NLOS Identification based on UWB impulse radio measurements for precise indoor localization |
| title_short | NLOS Identification based on UWB impulse radio measurements for precise indoor localization |
| title_sort | nlos identification based on uwb impulse radio measurements for precise indoor localization |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/139190 |
| work_keys_str_mv | AT chuangkuowei nlosidentificationbasedonuwbimpulseradiomeasurementsforpreciseindoorlocalization |