Motivated by the emergence of the Internet of Things (IoT), and by the importance that location information has on many complex systems scenarios, we propose a hybrid scheme for user positioning in an urban scenario. The system uses both a Global Navigation Satellite System (GNSS) and a Magnetic Positioning System (MPS). To maintain receiver complexity and cost at a minimum, the location scheme combines the MPS technique and GNSS measurements. A Kalman filter algorithm is used as the data integration mechanism over the time axis. Results demonstrate that the use of a local MPS provides increased location coverage, without service interruptions, when the number of visible satellites is inadequate. The obtained accuracy in the indoor environment is better than meter-level, thus fulfilling the requirements of many hybrid outdoor/indoor positioning applications.
A hybrid outdoor/indoor Positioning System for IoT applications
DE ANGELIS, GUIDO;DE ANGELIS, ALESSIO;PASKU, VALTER;MOSCHITTA, Antonio;CARBONE, Paolo
2015
Abstract
Motivated by the emergence of the Internet of Things (IoT), and by the importance that location information has on many complex systems scenarios, we propose a hybrid scheme for user positioning in an urban scenario. The system uses both a Global Navigation Satellite System (GNSS) and a Magnetic Positioning System (MPS). To maintain receiver complexity and cost at a minimum, the location scheme combines the MPS technique and GNSS measurements. A Kalman filter algorithm is used as the data integration mechanism over the time axis. Results demonstrate that the use of a local MPS provides increased location coverage, without service interruptions, when the number of visible satellites is inadequate. The obtained accuracy in the indoor environment is better than meter-level, thus fulfilling the requirements of many hybrid outdoor/indoor positioning applications.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
