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A Statistical Modeling Approach to Location Estimation (2001)
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BibTeX
@TECHREPORT{Tonteri01astatistical,
author = {Teemu Tonteri},
title = {A Statistical Modeling Approach to Location Estimation},
institution = {},
year = {2001}
}
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Abstract
Location services provide users of cellular telephones with information about their location. In order to implement location services, several location estimation methods have been developed. Some of them, such as the GPS satellite navigation system, require non-standard features, either from the cellular telephone or the cellular network. However, it is possible to use the existing GSM technology for location estimation by taking advantage of the signals transmitted between the cellular telephone and the network. A problem with such solutions is usually their inadequate location estimation accuracy. The thesis reviews some current location estimation methods. In addition, it describes propagation models, which are used to predict some properties of radio signals, such as signal strength. The use of propagation models in location estimation is discussed. This leads to an approach to location estimation which is different from the prevailing geometric one. We call our approach the statistical modeling approach. In the empirical part of the thesis, a location estimation method based on a statistical signal strength model is presented.
Keyphrases
location estimation statistical modeling approach cellular telephone propagation model location service radio signal several location estimation method inadequate location estimation accuracy signal strength gsm technology location estimation method gps satellite navigation system cellular network empirical part non-standard feature statistical signal strength model current location estimation method
