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

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2011-03-01

Author

Bshara, Mussa
Orguner, Umut
Gustafsson, Fredrik
Van Biesen, Leo

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Computer Networks and Communications, Electrical and Electronic Engineering, Automotive Engineering, Aerospace Engineering

URI

https://hdl.handle.net/11511/40801

Journal

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

DOI

https://doi.org/10.1109/tvt.2011.2107926

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

M. Bshara, U. Orguner, F. Gustafsson, and L. Van Biesen, “Robust Tracking in Cellular Networks Using HMM Filters and Cell-ID Measurements,” IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, pp. 1016–1024, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40801.