On structural identification of 2D regression functions for indoor Bluetooth localization

Rene Mayrhofer, Stephan Winkler, Helmut Hlavacs, Michael Affenzeller, Stefan Schneider

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

In-door localization of mobile devices is a common problem for many current and future applications, for example to control infrastructure services or for personalized in-building navigation systems. Sufficiently capable Bluetooth support is often available in off-the-shelf mobile devices such as mobile phones, which makes Bluetooth an attractive technology for cheap and widely available in-door localization systems. However, Bluetooth has been optimized to deal with effects of radio frequency transmission such as reflection and multi-path propagation. It therefore produces highly non-linear relationships between the distance of devices and their perceived signal strength. In this paper, we aim to identify these relationships for a specific dataset of 2D device positions using structural identification methods. Driven by an extended genetic algorithm, we aim to find optimal mappings in form of non-linear equations for x and y coordinates, thus producing formal regression functions.

Original languageEnglish
Title of host publicationComputer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers
Pages801-808
Number of pages8
Volume5717
Edition1
DOIs
Publication statusPublished - Sep 2009
EventTwelve International Conference on Computer Aided Systems Theory 2009 - Las Palmas, Spain
Duration: 15 Feb 200920 Feb 2009
http://www.iuctc.ulpgc.es/spain/eurocast2009/index.html

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5717 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceTwelve International Conference on Computer Aided Systems Theory 2009
CountrySpain
CityLas Palmas
Period15.02.200920.02.2009
Internet address

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