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

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

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: