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Mobility Tracking in Cellular Networks with Sequential Monte Carlo Filters

Mihaylova, L. and Bull, D. and Angelova, D. and Canagarajah, N. (2005) Mobility Tracking in Cellular Networks with Sequential Monte Carlo Filters. In: 2005 8th International Conference on Information Fusion Proceedings. . ISBN 0-7803-9286-8

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    Abstract

    This paper considers mobility tracking in wireless communication networks based on received signal strength indicator measurements. Mobility tracking involves on-line estimation of the position and speed of a mobile unit. Mobility tracking is formulated as an estimation problem of a hybrid system consisting of a base state vector and a modal state vector. The command is modelled as a first-order Markov process which can take values from a finite set of acceleration levels. In order to cover the wide range of acceleration changes, a set of acceleration values is predetermined. Sequential Monte Carlo algorithms – a particle filter (PF) and a Rao-Blackwellised particle filter (RBPF) are proposed and their performance evaluated over a synthetic data example.

    Item Type: Contribution in Book/Report/Proceedings
    Additional Information: doi:10.1109/ICIF.2005.1591843 "©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."
    Uncontrolled Keywords: mobility tracking ; Monte Carlo methods ; wireless networks ; hybrid systems ; Rao-Blackwellisation ; Singer model ; DCS-publications-id ; inproc-427 ; DCS-publications-credits ; dsp-fa ; DCS-publications-personnel-id ; 121
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 4370
    Deposited By: Dr L Mihaylov
    Deposited On: 10 Mar 2008 13:26
    Refereed?: No
    Published?: Published
    Last Modified: 17 Sep 2013 09:33
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/4370

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