Channel modelling using 5G for accurate positioning

Global Positioning System (GPS) is widely adopted throughout the world. It is a technology that is free and allows one’s positioning to be determined by the satellite. This technology, it has improved the quality of life of people as it is being used as a first choice for navigational purposes daily...

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Main Author: Teo, Si Cheng
Other Authors: Lee Yee Hui
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157480
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1574802023-07-07T19:00:47Z Channel modelling using 5G for accurate positioning Teo, Si Cheng Lee Yee Hui School of Electrical and Electronic Engineering EYHLee@ntu.edu.sg Engineering::Electrical and electronic engineering::Wireless communication systems Global Positioning System (GPS) is widely adopted throughout the world. It is a technology that is free and allows one’s positioning to be determined by the satellite. This technology, it has improved the quality of life of people as it is being used as a first choice for navigational purposes daily. However, GPS has its limitation, causing inaccuracy in positioning estimation. The two limitations are namely, the absence of the line-of-sight and multipath fading. These limitations are often common in our land-scarce Singapore, as the country has common attributes such as buildings and underground tunnels. Therefore, they are susceptible to these limitations. This project aims to tackle the accuracy of positioning estimation outdoors. With the usage of RSSI as the parameter, the project aims to develop a path loss model and algorithms to estimate a user’s position more accurately. The result of this project depicts the accuracy of RSSI as a parameter for positioning estimation. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-18T07:52:18Z 2022-05-18T07:52:18Z 2022 Final Year Project (FYP) Teo, S. C. (2022). Channel modelling using 5G for accurate positioning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157480 https://hdl.handle.net/10356/157480 en A3119-211 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
spellingShingle Engineering::Electrical and electronic engineering::Wireless communication systems
Teo, Si Cheng
Channel modelling using 5G for accurate positioning
description Global Positioning System (GPS) is widely adopted throughout the world. It is a technology that is free and allows one’s positioning to be determined by the satellite. This technology, it has improved the quality of life of people as it is being used as a first choice for navigational purposes daily. However, GPS has its limitation, causing inaccuracy in positioning estimation. The two limitations are namely, the absence of the line-of-sight and multipath fading. These limitations are often common in our land-scarce Singapore, as the country has common attributes such as buildings and underground tunnels. Therefore, they are susceptible to these limitations. This project aims to tackle the accuracy of positioning estimation outdoors. With the usage of RSSI as the parameter, the project aims to develop a path loss model and algorithms to estimate a user’s position more accurately. The result of this project depicts the accuracy of RSSI as a parameter for positioning estimation.
author2 Lee Yee Hui
author_facet Lee Yee Hui
Teo, Si Cheng
format Final Year Project
author Teo, Si Cheng
author_sort Teo, Si Cheng
title Channel modelling using 5G for accurate positioning
title_short Channel modelling using 5G for accurate positioning
title_full Channel modelling using 5G for accurate positioning
title_fullStr Channel modelling using 5G for accurate positioning
title_full_unstemmed Channel modelling using 5G for accurate positioning
title_sort channel modelling using 5g for accurate positioning
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157480
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