Indoor Localisation Based on GSM Signals: Multistorey Building Study
Joint Authors
Górak, Rafał
Luckner, Marcin
Okulewicz, Michał
Porter-Sobieraj, Joanna
Wawrzyniak, Piotr
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-27
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Telecommunications Engineering
Abstract EN
Among the accurate indoor localisation systems that are using WiFi, Bluetooth, or infrared technologies, the ones that are based on the GSM rely on a stable external infrastructure that can be used even in an emergency.
This paper presents an accurate GSM indoor localisation system that achieves a median error of 4.39 metres in horizontal coordinates and up to 64 percent accuracy in floor prediction (for 84 percent of cases the floor prediction is mistaken by not more than a single floor).
The test and reference measurements were made inside a six-floor academic building, with an irregular shape, whose dimensions are around 50 metres by 70 metres.
The localisation algorithm uses GSM signal readings from the 7 strongest cells available in the GSM standard (or fewer, if fewer than 7 are available).
We estimate the location by a three-step method.
Firstly, we propose a point localisation solution (i.e., localisation based on only one measurement).
Then, by applying the central tendency filters and the Multilayer Perceptron, we build a localisation system that uses a sequence of estimations of current and past locations.
We also discuss major accuracy factors such as the number of observed signals or the types of spaces in the building.
American Psychological Association (APA)
Górak, Rafał& Luckner, Marcin& Okulewicz, Michał& Porter-Sobieraj, Joanna& Wawrzyniak, Piotr. 2016. Indoor Localisation Based on GSM Signals: Multistorey Building Study. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1111398
Modern Language Association (MLA)
Górak, Rafał…[et al.]. Indoor Localisation Based on GSM Signals: Multistorey Building Study. Mobile Information Systems No. 2016 (2016), pp.1-17.
https://search.emarefa.net/detail/BIM-1111398
American Medical Association (AMA)
Górak, Rafał& Luckner, Marcin& Okulewicz, Michał& Porter-Sobieraj, Joanna& Wawrzyniak, Piotr. Indoor Localisation Based on GSM Signals: Multistorey Building Study. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1111398
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111398