Development of wi-fi based indoor navigation system

This report documented the progress of a Final Year Project (FYP) at the Nanyang Technological University in partial fulfilment of the requirements of the degree of Bachelor of Engineering with the topic of a Wi-Fi based Indoor Navigation System. With the advantage of low cost and needlessness of ex...

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Main Author: Luo, Yiwen
Other Authors: Xie Lihua
Format: Final Year Project
Language:English
Published: 2015
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Online Access:http://hdl.handle.net/10356/64271
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-642712023-07-07T15:57:46Z Development of wi-fi based indoor navigation system Luo, Yiwen Xie Lihua School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering This report documented the progress of a Final Year Project (FYP) at the Nanyang Technological University in partial fulfilment of the requirements of the degree of Bachelor of Engineering with the topic of a Wi-Fi based Indoor Navigation System. With the advantage of low cost and needlessness of extra installation of infrastructures, Wireless Local Area Network (WLAN, also known as Wi-Fi) was selected as the technology for the positioning platform. During the first part of the project, Weighted Path Loss (WPL) algorithm, which is a model based approach, was leveraged for the positioning due to its prompt response and simple implementation. It has been tested out in the real environment. In the second part of the project, fingerprinting based approaches were implemented as it can provide a higher positioning accuracy in general. Extreme Learning Machine (ELM) and Weighted K-Nearest Neighbor (WKNN) algorithms were leveraged for better performance, especially the accuracy and robustness of the navigation systems. The third part of project emphasized on the Access Point (AP) selections. Mutual Information (MI) based methodologies were leveraged to provide a lower computation requirement and a higher navigation speed with minimized reduction of the positioning accuracy. Online Mutual Information (OnlineMI) algorithm was proposed. Simulations and experiments were conducted to prove to feasibility and effectiveness. Matrix Laboratory (MATLAB) software was used for simulation of the algorithms. OpenWrt system, which is an open source embedded Linux system with high configurability, was deployed as the test platform of the positioning system. Bachelor of Engineering 2015-05-25T08:18:54Z 2015-05-25T08:18:54Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/64271 en Nanyang Technological University 63 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::Control and instrumentation::Control engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Luo, Yiwen
Development of wi-fi based indoor navigation system
description This report documented the progress of a Final Year Project (FYP) at the Nanyang Technological University in partial fulfilment of the requirements of the degree of Bachelor of Engineering with the topic of a Wi-Fi based Indoor Navigation System. With the advantage of low cost and needlessness of extra installation of infrastructures, Wireless Local Area Network (WLAN, also known as Wi-Fi) was selected as the technology for the positioning platform. During the first part of the project, Weighted Path Loss (WPL) algorithm, which is a model based approach, was leveraged for the positioning due to its prompt response and simple implementation. It has been tested out in the real environment. In the second part of the project, fingerprinting based approaches were implemented as it can provide a higher positioning accuracy in general. Extreme Learning Machine (ELM) and Weighted K-Nearest Neighbor (WKNN) algorithms were leveraged for better performance, especially the accuracy and robustness of the navigation systems. The third part of project emphasized on the Access Point (AP) selections. Mutual Information (MI) based methodologies were leveraged to provide a lower computation requirement and a higher navigation speed with minimized reduction of the positioning accuracy. Online Mutual Information (OnlineMI) algorithm was proposed. Simulations and experiments were conducted to prove to feasibility and effectiveness. Matrix Laboratory (MATLAB) software was used for simulation of the algorithms. OpenWrt system, which is an open source embedded Linux system with high configurability, was deployed as the test platform of the positioning system.
author2 Xie Lihua
author_facet Xie Lihua
Luo, Yiwen
format Final Year Project
author Luo, Yiwen
author_sort Luo, Yiwen
title Development of wi-fi based indoor navigation system
title_short Development of wi-fi based indoor navigation system
title_full Development of wi-fi based indoor navigation system
title_fullStr Development of wi-fi based indoor navigation system
title_full_unstemmed Development of wi-fi based indoor navigation system
title_sort development of wi-fi based indoor navigation system
publishDate 2015
url http://hdl.handle.net/10356/64271
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