Over the last years, many different methods have been proposed for indoor localization and navigation services based on Radio frequency (RF) technology and Radio Signal Strength Indicator (RSSI). The accuracy achieved with such systems is typically low, mainly due to the variability of RSSI values, unsuitable for classic localization methods (e.g. triangulation). In this paper, we propose a novel approach based on multiple neural networks. We demonstrate with experimental results that by training and then activating different neural networks, tailored on the user orientation, high definition accuracy is achievable, allowing indoor navigation with a cost effective Bluetooth (BT) architecture.

Altini M. , Brunelli D. , Farella E. , Benini L. (2010). Bluetooth indoor localization with multiple neural networks. s.l : IEEE Press.

Bluetooth indoor localization with multiple neural networks

BRUNELLI, DAVIDE;FARELLA, ELISABETTA;BENINI, LUCA
2010

Abstract

Over the last years, many different methods have been proposed for indoor localization and navigation services based on Radio frequency (RF) technology and Radio Signal Strength Indicator (RSSI). The accuracy achieved with such systems is typically low, mainly due to the variability of RSSI values, unsuitable for classic localization methods (e.g. triangulation). In this paper, we propose a novel approach based on multiple neural networks. We demonstrate with experimental results that by training and then activating different neural networks, tailored on the user orientation, high definition accuracy is achievable, allowing indoor navigation with a cost effective Bluetooth (BT) architecture.
2010
Wireless Pervasive Computing (ISWPC), 2010 5th IEEE International Symposium on
295
300
Altini M. , Brunelli D. , Farella E. , Benini L. (2010). Bluetooth indoor localization with multiple neural networks. s.l : IEEE Press.
Altini M. ; Brunelli D. ; Farella E. ; Benini L.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/95976
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