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

  • Marco Porretta
    ,
  • Paolo Nepa
    ,
  • Giuliano Manara
    ,
  • Filippo Giannetti
    ,
  • Ben Allen
    ,
  • Mischa Dohler
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

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.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 03/01/2005

Publication status

Published - 03/01/2005

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

External Publication IDs

  • handle.net: 10547/270942

Host publication title

2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754)

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