Robust methods for a real-time indoor-wifi localization system
56 p.
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2010
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sg-ntu-dr.10356-391592023-07-04T15:25:42Z Robust methods for a real-time indoor-wifi localization system Duan, Da. Ng Boon Poh School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 56 p. The rapid development of local-area wireless networks has fostered a growing interest in location-aware systems and services. While much research has focused on developing service architectures for location-aware systems, less attention has been paid to the fundamental problem of locating mobile users, especially in an indoor environment. An existing methodology is to use RF finger-printing for localization. However, this is computationally intensive, since a large training database is required, and is not conducive for a real-time system. Other techniques based on received signal strength (RSS) information have been proposed. It triangulates on the location by using the maximum RSS criterion. Master of Science (Signal Processing) 2010-05-21T04:46:31Z 2010-05-21T04:46:31Z 2007 2007 Thesis http://hdl.handle.net/10356/39159 application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Duan, Da. Robust methods for a real-time indoor-wifi localization system |
| description |
56 p. |
| author2 |
Ng Boon Poh |
| author_facet |
Ng Boon Poh Duan, Da. |
| format |
Theses and Dissertations |
| author |
Duan, Da. |
| author_sort |
Duan, Da. |
| title |
Robust methods for a real-time indoor-wifi localization system |
| title_short |
Robust methods for a real-time indoor-wifi localization system |
| title_full |
Robust methods for a real-time indoor-wifi localization system |
| title_fullStr |
Robust methods for a real-time indoor-wifi localization system |
| title_full_unstemmed |
Robust methods for a real-time indoor-wifi localization system |
| title_sort |
robust methods for a real-time indoor-wifi localization system |
| publishDate |
2010 |
| url |
http://hdl.handle.net/10356/39159 |
| _version_ |
1772827601763565568 |