Robust Tracking in Cellular Networks Using HMM Filters and Cell-ID Measurements

A localization algorithm based on cell identification (Cell-ID) information is proposed. Instead of building the localization decisions only on the serving base station, all the detected Cell-IDs (serving or nonserving) by the mobile station are utilized. The statistical modeling of user motion and...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 60; no. 3; pp. 1016 - 1024
Main Authors: Bshara, M, Orguner, U, Gustafsson, F, Van Biesen, L
Format: Journal Article
Language:English
Published: New York, NY IEEE 01-03-2011
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
GSM
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Summary:A localization algorithm based on cell identification (Cell-ID) information is proposed. Instead of building the localization decisions only on the serving base station, all the detected Cell-IDs (serving or nonserving) by the mobile station are utilized. The statistical modeling of user motion and the measurements are done via a hidden Markov model (HMM), and the localization decisions are made with maximum a posteriori estimation criterion using the posterior probabilities from an HMM filter. The results are observed and compared with standard alternatives on an example whose data were collected from a worldwide interoperability for microwave access network in a challenging urban area in the Brussels capitol city.
Bibliography:ObjectType-Article-2
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ISSN:0018-9545
1939-9359
1939-9359
DOI:10.1109/TVT.2011.2107926