Gaussian Mixture Modeling for Location Positioning in Wireless LAN
碩士 === 輔仁大學 === 電子工程學系 === 93 === Location positioning techniques are getting important in mobile computing. A novel approach for the location determination by WLAN signal strength is proposed in this paper. Our method receives the RSSI signal strength from wireless access point. The probability dis...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/16676829045124817024 |
| Summary: | 碩士 === 輔仁大學 === 電子工程學系 === 93 === Location positioning techniques are getting important in mobile computing. A novel approach for the location determination by WLAN signal strength is proposed in this paper. Our method receives the RSSI signal strength from wireless access point. The probability distribution of RSSI is statistically modeled by Gaussian mixture models. The modeling is achieved by expectation maximization. By the assumption of signal independence among access points, the computation of Gaussian mixture in three dimensions is greatly reduced. The signal model and the signal we real received is compared and more than 95% correctness is obtained. User location is determined by maximum likelihood.
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