Robust Tracking in Cellular Networks Using HMM Filters and Cell-ID Measurements
作者： Mussa Bshara , Umut Orguner , Fredrik Gustafsson , Leo Van Biesen
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摘要: A localization algorithm based on cell identification (Cell-ID) information is proposed. Instead of building the decisions only serving base station, all detected Cell-IDs (serving or nonserving) by mobile station are utilized. The statistical modeling user motion and measurements done via a hidden Markov model (HMM), made with maximum posteriori estimation criterion using posterior probabilities from an HMM filter. results observed compared standard alternatives example whose data were collected worldwide interoperability for microwave access network in challenging urban area Brussels capitol city.
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