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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Hybrid Algorithm for Floor Detection Using GSM Signals in Indoor Localisation Task
verfasst von : Marcin Luckner, Rafał Górak
Erschienen in: Hybrid Artificial Intelligent Systems
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Abstract
One of challenging problems of indoor localisation based on GSM fingerprints is the detection of the current floor. We propose an off–line algorithm that labels fingerprints with the number of current floor. The algorithm uses one pass through the given route to learn the GSM fingerprints. After that the height on the testing passes of the same route can be estimated with high accuracy even for measures registered with various velocities and a month after the learning process. The two phase algorithm detects the points of a potential floor change. Next, the regression function normalises height of the change and calculates its direction. The obtained results are up to 40 % better than the results obtained by the pure regression.