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Mobility tracking in cellular networks with sequential Monte Carlo filters

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2005 7th International Conference on Information Fusion (FUSION) Philadelphia, PA, United States
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Pages107 - 114
Number of pages8
ISBN (Print)0780392868
StatePublished - Jul 2005
Event8th International Conference on Information Fusion - Philadelphia, PA, United States


Conference8th International Conference on Information Fusion
CountryUnited States
CityPhiladelphia, PA
Period1/07/05 → …


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 modeled 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 pre-determined. Sequential Monte Carlo algorithms-a particle filter (PF) and a Rao-Blackwellised particle filter (RBPF) is proposed and their performance evaluated over a synthetic data example.

Additional information

Rose publication type: Conference contribution Sponsorship: This research is supported by the the UK MOD Data and Information Fusion Defence Technology Center and in part by the Bulgarian Foundation for Scientific Investigations under grants I- 1202/02 and 1-1205/02. Terms of use: Copyright © 2005 IEEE. Reprinted from 8th International Conference on Information Fusion, 2005. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or 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 must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Research areas

  • mobility tracking, Monte Carlo methods, wireless networks, hybrid systems, Rao-Blackwellisation, Singer model


8th International Conference on Information Fusion

Duration1 Jul 2005 → …
CityPhiladelphia, PA
CountryUnited States

Event: Conference

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