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 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.

Publication year:2011

Keywords:Cell identification (Cell-ID), Global Positioning System (GPS), Global System for Mobile Communications (GSM), hidden Markov model (HMM), location-based service (LBS), WiMAX, navigation, positioning, positioning accuracy, WiMAX networks.