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A Study on the Suitability of GSM Signatures for Indoor Location

  • Carlos Bento
  • Teresa Soares
  • Marco Veloso
  • Bruno Baptista
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4794)

Abstract

Location is an important topic on Ambient Intelligence. Different techniques are used, alone or together, to determine the position of people and objects. One aspect of this problem concerns to indoor location. Various authors propose the analysis of Radio Frequency (RF) signatures as a solution for this challenge. An approach for indoor location is the use of RF signals acquired from a Global System for Mobile Communications (GSM) by Mobile Units(MU).

In this paper we make a study based on around 485.000 signatures gathered from four buildings. We present our conclusions on the suitability and limitations of this approach for indoor location.

Keywords

Global Position System Bayesian Network Signal Strength Ambient Intelligence Indoor Location 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Carlos Bento
    • 1
  • Teresa Soares
    • 1
  • Marco Veloso
    • 1
  • Bruno Baptista
    • 1
  1. 1.Centro de Informatica e Sistemas da Universidade de Coimbra (CISUC), Portugal Telecom Inovação (PTI) 

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