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IEEE Vehicular Technology Conference 2006
DOI: 10.1109/vtcf.2006.500
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Indoor Outdoor User Discrimination in Mobile Wireless Networks

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Cited by 8 publications
(4 citation statements)
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“…In previous studies, we described some methods to better exploit existing radio measurements [2] [3]. The obtained results were very encouraging: using statistical tools, we extracted useful information of the state of the mobile (indoor, outdoor, incar, pedestrian, unmoving).…”
Section: Study Approachmentioning
confidence: 90%
See 1 more Smart Citation
“…In previous studies, we described some methods to better exploit existing radio measurements [2] [3]. The obtained results were very encouraging: using statistical tools, we extracted useful information of the state of the mobile (indoor, outdoor, incar, pedestrian, unmoving).…”
Section: Study Approachmentioning
confidence: 90%
“…the wavelet transform with the multiresolution representation [2] and the likelihood ratio function associated with the Neyman-Pearson test [3].…”
Section: Study Approachmentioning
confidence: 99%
“…Both geometrical and variability checks [17] are made in order to classify the call as static and finally generate a single-point output. • Triangulation-based Localization Algorithm (TLA).…”
Section: Error Mitigation Mechanisms For Triangulationbased Localizationmentioning
confidence: 99%
“…Por lo tanto, es necesario algún tipo de procesado posterior para identificar este tipo de llamadas. Realizando tanto comprobaciones geométricas como de variabilidad de la RSS [80] es posible detectar llamadas estáticas y generar como salida unúnico punto de localización en lugar de una trayectoria. Así, se detecta que una llamada es estática si se cumple cualquiera de las siguientes condiciones.…”
Section: Localizaciónunclassified