Estimating position and velocity of mobile terminals in a microcellular network using an adaptive linear regression setup

2.50
Hdl Handle:
http://hdl.handle.net/10547/270942
Title:
Estimating position and velocity of mobile terminals in a microcellular network using an adaptive linear regression setup
Authors:
Porretta, Marco; Nepa, Paolo; Manara, Giuliano; Giannetti, Filippo; Dohler, Mischa; Allen, Ben; Aghvami, A.Hamid
Abstract:
Mobility tracking yields efficient network resource management and enables very useful additional services, provided that accurate online estimations of both the location and the velocity of a mobile user are performed. We present a novel method for tracing a mobile user by subsequently estimating his/her position through a single base station positioning (SBSP) method designed for microcellular and third generation (3G) wireless communications systems. Raw data about user position are then smoothed through a linear regression setup which adaptively varies its inertia on the basis of the previous observations. This results in a tracking method which is able to estimate both the location and the velocity of a user with high accuracy, as proven by numerical results obtained in different microcellular scenarios.
Affiliation:
Pisa University; University of Bedfordshire
Citation:
Porretta, M., Nepa, P., Manara, G., Giannetti, F., Dohler, M., Allen, B., Aghvami, A.H. (2004) 'Estimating position and velocity of mobile terminals in a microcellular network using an adaptive linear regression setup'. Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on,vol 1: 561-565
Publisher:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date:
Sep-2004
URI:
http://hdl.handle.net/10547/270942
DOI:
10.1109/PIMRC.2004.1370933
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1370933
Type:
Conference papers, meetings and proceedings
Language:
en
Appears in Collections:
Centre for Wireless Research (CWR)

Full metadata record

DC FieldValue Language
dc.contributor.authorPorretta, Marcoen_GB
dc.contributor.authorNepa, Paoloen_GB
dc.contributor.authorManara, Giulianoen_GB
dc.contributor.authorGiannetti, Filippoen_GB
dc.contributor.authorDohler, Mischaen_GB
dc.contributor.authorAllen, Benen_GB
dc.contributor.authorAghvami, A.Hamiden_GB
dc.date.accessioned2013-03-04T14:50:16Z-
dc.date.available2013-03-04T14:50:16Z-
dc.date.issued2004-09-
dc.identifier.citationPorretta, M., Nepa, P., Manara, G., Giannetti, F., Dohler, M., Allen, B., Aghvami, A.H. (2004) 'Estimating position and velocity of mobile terminals in a microcellular network using an adaptive linear regression setup'. Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on,vol 1: 561-565en_GB
dc.identifier.doi10.1109/PIMRC.2004.1370933-
dc.identifier.urihttp://hdl.handle.net/10547/270942-
dc.description.abstractMobility tracking yields efficient network resource management and enables very useful additional services, provided that accurate online estimations of both the location and the velocity of a mobile user are performed. We present a novel method for tracing a mobile user by subsequently estimating his/her position through a single base station positioning (SBSP) method designed for microcellular and third generation (3G) wireless communications systems. Raw data about user position are then smoothed through a linear regression setup which adaptively varies its inertia on the basis of the previous observations. This results in a tracking method which is able to estimate both the location and the velocity of a user with high accuracy, as proven by numerical results obtained in different microcellular scenarios.en_GB
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1370933en_GB
dc.subjectwireless communication systemsen_GB
dc.titleEstimating position and velocity of mobile terminals in a microcellular network using an adaptive linear regression setupen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentPisa Universityen_GB
dc.contributor.departmentUniversity of Bedfordshireen_GB
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