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

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Date

2011-03-01

Author

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

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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

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, vol. 60, no. 3, pp. 1016–1024, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40801.