High-Performance Indoor Localization with Full-Band GSM Fingerprints

High-Performance Indoor Localization with Full-Band GSM Fingerprints

GSM trace mobile measurements are used to study indoor handset localization in an urban apartment setting. Nearest-neighbor, support vector machine (SVM), and Gaussian process classifiers are compared. A linear SVM is found to provide mean room-level classification efficiency near 100%, but only whe...

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Bibliographische Detailangaben
Hauptverfasser: Denby, B., Oussar, Y., Ahriz, I., Dreyfus, G.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Fingerprint recognition
Global Positioning System
GSM
Nuclear magnetic resonance
Position measurement
Support vector machine classification
Support vector machines
Telephone sets
Testing
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Beschreibung
Zusammenfassung:GSM trace mobile measurements are used to study indoor handset localization in an urban apartment setting. Nearest-neighbor, support vector machine (SVM), and Gaussian process classifiers are compared. A linear SVM is found to provide mean room-level classification efficiency near 100%, but only when the full set of GSM carriers is used. To our knowledge, this is the first study to use fingerprints containing all GSM carriers, and the first to suggest that GSM could be useful for very high-performance indoor localization.
ISSN:2164-7038
DOI:10.1109/ICCW.2009.5207991