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Applying Pattern Recognition Techniques based on Hidden Markov Models for Vehicular Position Location in Cellular Networks
Mangold, Stefan and Kyriazakos, S.
Department of Communication Networks (ComNets), Faculty 6, RWTH Aachen University Kontakt: publications@comnets.rwth-aachen.de
In 50th IEEE Vehicular Technology Confererence, VTC 1999-Fall, p. 6, Amsterdam, The Netherlands, 1999.
Publication Date: Sep, 1999
On page(s):6
ISBN:
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Field trials of subscriber locations in a cellular network are discussed. The vehicular position location applied is a hybrid method based on pattern recognition and Time of Arrival (TOA) measurements. The pattern recognition is performed by Hidden Markov Models (HMMs) trained with prediction data to model the strength of the received signals for particular areas. The TOA gives first estimations of where the active mobile is located and which set of HMMs is to be used for the position estimation. To assess the accuracy of the proposed location method, calls have been performed from a car, driving through various streets and TA zones in a single GSM cell. The results are quite optimistic, our solution may fulfill the demand of many subscriber location applications, without requiring any modifications of existing standards, the infrastructure, or the mobiles.
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Applying Pattern Recognition Techniques based on Hidden Markov Models for Vehicular Position Location in Cellular Networks  183 KB or here |
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@INPROCEEDINGS{MaKy-VTC99Fall,
AUTHOR = {Mangold, S. and Kyriazakos, S.},
TITLE = {Applying Pattern Recognition Techniques based on Hidden Markov Models
for Vehicular Position Location in Cellular Networks},
JOURNAL = {50th IEEE Vehicular Technology Confererence, VTC 1999-Fall},
YEAR = {1999},
MONTH = {Sep},
VOLUME = {0},
PAGES = {6},
ADDRESS = {Amsterdam, The Netherlands},
ORGANIZATION = {RWTH Aachen, Department of Communication Networks},
AFFILIATION = {Department of Communication Networks (ComNets), Faculty 6, RWTH Aachen University},
URL = {http://www.comnets.rwth-aachen.de}
}
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| | Letzte Änderung: 8.05.2008 12.16 | |
