A visual analytics system for radio frequency fingerprinting-based localization

Radio frequency (RF) fingerprinting-based techniques for localization are a promising approach for ubiquitous positioning systems, particularly indoors. By finding unique fingerprints of RF signals received at different locations within a predefined area beforehand, whenever a similar fingerprint is...

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Bibliographic Details
Published in:2009 IEEE Symposium on Visual Analytics Science and Technology pp. 35 - 42
Main Authors: Yi Han, Stuntebeck, E.P., Stasko, J.T., Abowd, G.D.
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2009
Subjects:
D.2.5 [Testing and Debugging]: Debugging aids
Debugging
Electronic mail
Fingerprint recognition
Global Positioning System
H.5.2 [User Interfaces]: Graphical user interfaces (GUI)
Radio frequency
Receivers
RF signals
Satellite broadcasting
Signal generators
Visual analytics
ISBN:9781424452835, 142445283X
Online Access:Get full text
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Summary:Radio frequency (RF) fingerprinting-based techniques for localization are a promising approach for ubiquitous positioning systems, particularly indoors. By finding unique fingerprints of RF signals received at different locations within a predefined area beforehand, whenever a similar fingerprint is subsequently seen again, the localization system will be able to infer a user's current location. However, developers of these systems face the problem of finding reliable RF fingerprints that are unique enough and adequately stable over time. We present a visual analytics system that enables developers of these localization systems to visually gain insight on whether their collected datasets and chosen fingerprint features have the necessary properties to enable a reliable RF fingerprinting-based localization system. The system was evaluated by testing and debugging an existing localization system.
ISBN:9781424452835
142445283X
DOI:10.1109/VAST.2009.5332596