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

Author

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

Author_Institution

Dept. of Fundamental Electr. & Instrum., Vrije Univ. Brussel (VUB), Brussels, Belgium

Volume

60

Issue

3

fYear

2011

fDate

3/1/2011 12:00:00 AM

Firstpage

1016

Lastpage

1024

Abstract

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.

Keywords

WiMax; cellular radio; filtering theory; hidden Markov models; maximum likelihood estimation; mobility management (mobile radio); target tracking; HMM filter; cell identification information; cell-ID measurement; cellular networks; hidden Markov model; localization algorithm; maximum a posteriori estimation; mobile station; robust tracking; statistical modeling; worldwide interoperability for microwave access network; Cell identification (Cell-ID); Global Positioning System (GPS); Global System for Mobile Communications (GSM); WiMAX networks; hidden Markov model (HMM); location-based service (LBS); mobile worldwide interoperability for microwave access (WiMAX); navigation; positioning; positioning accuracy;

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/TVT.2011.2107926

Filename

5699945