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Hide and Seek

Pleger, Roland (2022) Hide and Seek. Linux Magazine. Linux New Media. ISSN 1471-5678.

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Abstract

GPS lets you determine the position of an object down to single-centimeter accuracy as long as the object is outside. Inside buildings satellite navigation does not work well through doors and walls. Measuring the signal strength of Wifi bacons with known location may give a hint about own position. The signature of the signal is too complicate for an analytic approach. Based on public available demo data machine learning interpret the fingerprint of the signals. With sufficient accuracy it locates a room within a floor of a building.

Item URL in elib:https://elib.dlr.de/187587/
Document Type:Article
Title:Hide and Seek
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Pleger, RolandUNSPECIFIEDUNSPECIFIED
Date:February 2022
Journal or Publication Title:Linux Magazine
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Publisher:Linux New Media
ISSN:1471-5678
Status:Published
Keywords:wifi based indoor navigation, machine learning, random forest, kmeans, pca
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Scaling of machine learning methods
Location: Köln-Porz
Institutes and Institutions:Institute for Software Technology
Deposited By: Pleger, Dr.-Ing. Roland
Deposited On:13 Sep 2022 08:07
Last Modified:16 Nov 2022 13:38

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