Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Dynamic chanel model LMS updating for RSS-based localization
Year:2011
Research Areas
  • Engineering
Information
Abstract
Received signal strength-based localization systems usually rely on a calibration process that aims at characterizing the propagation channel. However, due to the changing environmental dynamics, the behavior of the channel may change after some time, thus, recalibration processes are necessary to maintain the positioning accuracy. This paper proposes a dynamic calibration method to initially calibrate and subsequently update the parameters of the propagation channel model using a Least Mean Squares approach. The method assumes that each anchor node in the localization infrastructure is characterized by its own propagation channel model. In practice, a set of sniffers is used to collect RSS samples, which will be used to automatically calibrate each channel model by iteratively minimizing the positioning error. The proposed method is validated through numerical simulation, showing that the positioning error of the mobile nodes is effectively reduced. Furthermore, the method has a very low computational cost; therefore it can be used in real-time operation for wireless resource-constrained nodes.
International
Si
Congress
The 6th International Conference on Hybrid Artificial Intelligence Systems (Special session on Hybrid Systems for Context-based Information Fusion)
960
Place
Wroclaw (Polonia)
Reviewers
Si
ISBN/ISSN
978-36-4221-221-5
Start Date
23/05/2011
End Date
25/05/2011
From page
127
To page
135
Proceedings of he 6th International Conference on Hybrid Artificial Intelligence Systems (Special session on Hybrid Systems for Context-based
Participants
  • Autor: Paula Tarrío Alonso (UPM)
  • Autor: Wan Xian . (UPM)
  • Autor: Jose Ramon Casar Corredera (UPM)
  • Autor: Ana Maria Bernardos Barbolla (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Procesado de Datos y Simulación (GPDS)-CEDITEC
  • Departamento: Señales, Sistemas y Radiocomunicaciones
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)