Real time calibration for RSS indoor positioning systems

Bernardos Barbolla, Ana M. and Casar Corredera, Jose Ramon and Tarrío Alonso, Paula (2010). Real time calibration for RSS indoor positioning systems. In: "International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2010", 15/09/2010 - 17/09/2010, Zurich, Suiza. ISBN 978-1-4244-5862-2.

Description

Title: Real time calibration for RSS indoor positioning systems
Author/s:
  • Bernardos Barbolla, Ana M.
  • Casar Corredera, Jose Ramon
  • Tarrío Alonso, Paula
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2010
Event Dates: 15/09/2010 - 17/09/2010
Event Location: Zurich, Suiza
Title of Book: Proceedingos of the International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2010
Date: November 2010
ISBN: 978-1-4244-5862-2
Subjects:
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

Due to the random characteristics of the indoor propagation channel, received signal strength-based localization systems usually need to be manually calibrated once and again to guarantee their best performance. Calibration processes are costly in terms of time and resources, so they should be eliminated or reduced to a minimum. In this direction, this paper presents an optimization algorithm to automatically calibrate a propagation channel model by using a Least Mean Squares technique: RSS samples gathered in a number of reference points (with known positions) are used by a LMS algorithm to calculate those values for the channel model's constants that minimize the error computed by a hyperbolic triangulation positioning algorithm. Preliminary results on simulated and real data show that the localization error in distance is effectively reduced after a number of training samples. The LMS algorithm's simplicity and its low computational and memory costs make it adequate to be used in real systems.

More information

Item ID: 7488
DC Identifier: http://oa.upm.es/7488/
OAI Identifier: oai:oa.upm.es:7488
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5648231
Deposited by: Memoria Investigacion
Deposited on: 17 Jun 2011 09:50
Last Modified: 20 Apr 2016 16:37
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