Memorias de investigación
Ponencias en congresos:
Dynamic chanel model LMS updating for RSS-based localization
Año:2011
Áreas de investigación
  • Ingenierías
Datos
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
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Procesado de Datos y Simulación (GPDS)-CEDITEC
  • Departamento: Señales, Sistemas y Radiocomunicaciones