Signal analysis for WiFi positioning system

Wi-Fi localization is important to determine the predicted location of the network device. In this project, localization techniques were studied and implemented to perform signal analysis. Simulation of RSSI values based on a given location and simulation of an exact location based on a given set of...

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Main Author: Foo, Mabel Mei Ling.
Other Authors: Chang Kuiyu
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/52802
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-528022023-03-03T20:41:02Z Signal analysis for WiFi positioning system Foo, Mabel Mei Ling. Chang Kuiyu School of Computer Engineering Emerging Research Lab DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling Wi-Fi localization is important to determine the predicted location of the network device. In this project, localization techniques were studied and implemented to perform signal analysis. Simulation of RSSI values based on a given location and simulation of an exact location based on a given set of RSSI values are performed. These results are visualized in a graphical user interface and analyzed in detailed. The implementation of the simulation is based on the k-Nearest Neighbor algorithm and the Wi-Fi triangulation localization method. Euclidean distance was used as the proximity measure for the nearest neightbor algorithm. Bachelor of Engineering (Computer Science) 2013-05-27T07:44:21Z 2013-05-27T07:44:21Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/52802 en Nanyang Technological University 31 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::Computer science and engineering::Computing methodologies::Simulation and modeling
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
Foo, Mabel Mei Ling.
Signal analysis for WiFi positioning system
description Wi-Fi localization is important to determine the predicted location of the network device. In this project, localization techniques were studied and implemented to perform signal analysis. Simulation of RSSI values based on a given location and simulation of an exact location based on a given set of RSSI values are performed. These results are visualized in a graphical user interface and analyzed in detailed. The implementation of the simulation is based on the k-Nearest Neighbor algorithm and the Wi-Fi triangulation localization method. Euclidean distance was used as the proximity measure for the nearest neightbor algorithm.
author2 Chang Kuiyu
author_facet Chang Kuiyu
Foo, Mabel Mei Ling.
format Final Year Project
author Foo, Mabel Mei Ling.
author_sort Foo, Mabel Mei Ling.
title Signal analysis for WiFi positioning system
title_short Signal analysis for WiFi positioning system
title_full Signal analysis for WiFi positioning system
title_fullStr Signal analysis for WiFi positioning system
title_full_unstemmed Signal analysis for WiFi positioning system
title_sort signal analysis for wifi positioning system
publishDate 2013
url http://hdl.handle.net/10356/52802
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