Dead-reckoning-based indoor localization with wi-fi infrastructure support
In this project, a Wi-Fi Correction Scheme is proposed so the SparseTrack System is modified. The modified SparseTrack System consists of two sub-systems: the Dead-Reckoning Sub-System and the Ranging Sub-System. The Dead-Reckoning Sub- System is used to track pedestrian’s locations and the R...
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sg-ntu-dr.10356-614862023-07-07T17:37:01Z Dead-reckoning-based indoor localization with wi-fi infrastructure support Guo, Jie Ma Maode School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems In this project, a Wi-Fi Correction Scheme is proposed so the SparseTrack System is modified. The modified SparseTrack System consists of two sub-systems: the Dead-Reckoning Sub-System and the Ranging Sub-System. The Dead-Reckoning Sub- System is used to track pedestrian’s locations and the Ranging Sub-System is used to do the range correction. And then the particle filter is applied to constrain the cumulative errors from the Dead-Reckoning Sub-System. Experimental results show that this modified SparseTrack System can reduce the cumulative errors by around 35% on average. Bachelor of Engineering 2014-06-10T08:44:38Z 2014-06-10T08:44:38Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/61486 en Nanyang Technological University 48 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Guo, Jie Dead-reckoning-based indoor localization with wi-fi infrastructure support |
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In this project, a Wi-Fi Correction Scheme is proposed so the SparseTrack System is modified. The modified SparseTrack System consists of two sub-systems: the Dead-Reckoning Sub-System and the Ranging Sub-System. The Dead-Reckoning Sub-
System is used to track pedestrian’s locations and the Ranging Sub-System is used to do the range correction. And then the particle filter is applied to constrain the cumulative errors from the Dead-Reckoning Sub-System. Experimental results show that this modified SparseTrack System can reduce the cumulative errors by around 35% on average. |
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Ma Maode |
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Ma Maode Guo, Jie |
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Final Year Project |
author |
Guo, Jie |
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Guo, Jie |
title |
Dead-reckoning-based indoor localization with wi-fi infrastructure support |
title_short |
Dead-reckoning-based indoor localization with wi-fi infrastructure support |
title_full |
Dead-reckoning-based indoor localization with wi-fi infrastructure support |
title_fullStr |
Dead-reckoning-based indoor localization with wi-fi infrastructure support |
title_full_unstemmed |
Dead-reckoning-based indoor localization with wi-fi infrastructure support |
title_sort |
dead-reckoning-based indoor localization with wi-fi infrastructure support |
publishDate |
2014 |
url |
http://hdl.handle.net/10356/61486 |
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1772825389238845440 |