This paper proposes a hybrid scheme for user positioning in an urban scenario using both a Global Navigation Satellite System (GNSS) and a mobile cellular network. To maintain receiver complexity (and costs) at a minimum, the location scheme combines the time-difference-of-arrival (TDOA) technique measurements obtained from the cellular network with GNNS pseudorange measurements. The extended Kalman filter (EKF) algorithm is used as a data integration system over the time axis. Simulated results, which are obtained starting from real measurements, demonstrate that the use of cellular network data may provide increased location accuracy when the number of visible satellites is not adequate. In every case, the obtained accuracy is within the limits required by emergency location services, e.g., Enhanced 911 (E911).
GNSS/Cellular Hybrid Positioning System for Mobile Users in Urban Scenarios
IEEE Transactions on Intelligent Transportation Systems ; 14 , 1 ; 313-321
2013-03-01
1007022 byte
Article (Journal)
Electronic Resource
English
GNSS/Cellular Hybrid Positioning System for Mobile Users in Urban Scenarios
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