Dynamic chanel model LMS updating for RSS-based localization

Tarrío Alonso, Paula and Bernardos Barbolla, Ana M. and Xian, Wan and Casar Corredera, Jose Ramon (2011). Dynamic chanel model LMS updating for RSS-based localization. In: "6th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2011", 23/05/2011 - 25/05/2011, Wroclaw, Polonia. ISBN 978-3-642-21221-5.

Description

Title: Dynamic chanel model LMS updating for RSS-based localization
Author/s:
  • Tarrío Alonso, Paula
  • Bernardos Barbolla, Ana M.
  • Xian, Wan
  • Casar Corredera, Jose Ramon
Item Type: Presentation at Congress or Conference (Article)
Event Title: 6th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2011
Event Dates: 23/05/2011 - 25/05/2011
Event Location: Wroclaw, Polonia
Title of Book: Proceedings of he 6th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2011
Date: 2011
ISBN: 978-3-642-21221-5
Subjects:
Freetext Keywords: Indoor localization, RSS, calibration, channel model, LMS
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 11637
DC Identifier: http://oa.upm.es/11637/
OAI Identifier: oai:oa.upm.es:11637
Official URL: http://hais.pwr.wroc.pl/
Deposited by: Memoria Investigacion
Deposited on: 05 Dec 2012 11:48
Last Modified: 20 Apr 2016 19:39
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