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Fast, handset-based GSM fingerprints for indoor localization

Abstract : Accurately localizing users in indoor environments remains an important and challenging task. The article presents new results on room-level indoor localization, using cellular Received Signal Strength fingerprints collected with a standard cellular handset programmed to perform fast scans of the 900 and 1800 Megahertz GSM bands as a user explores an indoor environment at a normal walking pace. Support Vector Machines are used to deal with the high dimensionality of the fingerprints. The study demonstrates that an appropriately programmed standard cellular handset can provide a simple, inexpensive solution for accurate room-level indoor localization.
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https://hal.archives-ouvertes.fr/hal-00961277
Contributor : Ye Tian <>
Submitted on : Monday, March 24, 2014 - 9:47:24 AM
Last modification on : Saturday, September 26, 2020 - 11:44:10 PM
Long-term archiving on: : Tuesday, June 24, 2014 - 10:52:44 AM

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Ye Tian, Bruce Denby, Iness Ahriz Roula, Pierre Roussel, Gérard Dreyfus. Fast, handset-based GSM fingerprints for indoor localization. 2012 International Symposium on Wireless Communication Systems (ISWCS), Aug 2012, France. pp.641-645, ⟨10.1109/ISWCS.2012.6328446⟩. ⟨hal-00961277⟩

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