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Title
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802.11 positioning using signal strength fingerprinting
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| Author(s) |
Salter, James William, Computer Science & Engineering, Faculty of Engineering, UNSW
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| Resource Type |
Thesis
Masters Thesis
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| Supervisor(s) |
Woo, Daniel, Computer Science & Engineering, Faculty of Engineering, UNSW
Rizos, Chris, Surveying & Spatial Information Systems, Faculty of Engineering, UNSW
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| Keyword(s) |
Positioning.
802.11.
Wifi.
Fingerprinting.
Radio.
Localization.
Signal
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| Date |
2008 |
| Description/Abstract |
The effectiveness of location aware applications is dependent on the accuracy of the supporting positioning system. This work evaluates the accuracy of an indoors 802.11 positioning system based on signal strength fingerprinting. The system relies on an empirical survey of signal strength prior to positioning. During this survey, signal strength recordings are made at a set of positions across the environment. These recordings are used as training data for the system during positioning. In this thesis, two surveying methods, five positioning algorithms, and two spatial output averaging methods are trialled. Accuracy is determined by empirical testing in two separate environments: a 100m square domestic house and the 1,333m square third floor of the University of New South Wales Computer Science and Engineering building. In the two environments, the lowest mean distance errors are 1.25m and 2.86m respectively. |
| Language |
EN |
| Rights |
Please click here to view the rights |
| Additional Information |
Access to both print and electronic version of this thesis was restricted until 17/03/2010. |
| Citation Link |
Please use this identifier to cite or link to this item: http://handle.unsw.edu.au/1959.4/43353 |
| Full Text |  |
| Total Attachment |
2 |
| Attachment Information |
Access to this work is restricted! |