Observatorio de I+D+i UPM

Descripción
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.
Internacional	Si
Nombre congreso	The 6th International Conference on Hybrid Artificial Intelligence Systems (Special session on Hybrid Systems for Context-based Information Fusion)
Tipo de participación	960
Lugar del congreso	Wroclaw (Polonia)
Revisores	Si
ISBN o ISSN	978-36-4221-221-5
DOI
Fecha inicio congreso	23/05/2011
Fecha fin congreso	25/05/2011
Desde la página	127
Hasta la página	135
Título de las actas	Proceedings of he 6th International Conference on Hybrid Artificial Intelligence Systems (Special session on Hybrid Systems for Context-based

Esta actividad pertenece a memorias de investigación

• Autor: Paula Tarrío Alonso (UPM)
• Autor: Wan Xian . (UPM)
• Autor: Jose Ramon Casar Corredera (UPM)
• Autor: Ana Maria Bernardos Barbolla (UPM)

• Creador: Grupo de Investigación: Grupo de Procesado de Datos y Simulación (GPDS)-CEDITEC
• Departamento: Señales, Sistemas y Radiocomunicaciones