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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| Vydáno v: | 2009 IEEE Symposium on Visual Analytics Science and Technology s. 35 - 42 |
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| Hlavní autoři: | , , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
01.10.2009
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| Témata: | |
| ISBN: | 9781424452835, 142445283X |
| On-line přístup: | Získat plný text |
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| Shrnutí: | 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. |
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| ISBN: | 9781424452835 142445283X |
| DOI: | 10.1109/VAST.2009.5332596 |