Hybrid U-TDOA and A-GPS for vehicle positioning and tracking

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86097031" target="_blank" >RIV/61989100:27240/15:86097031 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-19644-2_50" target="_blank" >http://dx.doi.org/10.1007/978-3-319-19644-2_50</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-19644-2_50" target="_blank" >10.1007/978-3-319-19644-2_50</a>

Result language
angličtina
Original language name
Hybrid U-TDOA and A-GPS for vehicle positioning and tracking
Original language description
Due to the current emergent interests in location-based services, 3G and 4G cellular networks provide a key facility to locate the user equipment (UE). Vehicle positioning and tracking using the UE traveling on-board the vehicle is one of the value addedlocation-based services enabled by this feature and has been studied by different researchers. However, there is no single standard on UE positioning technique that can provide better accuracy and coverage. To address this problem, we proposed to use measurement fusion based hybrid UE positioning method-combining measurements collected from A-GPS mobiles and simulated estimates of U-TDOA. Kalman Filter based filtering of positions and velocities as well as accuracy values determined based on measurement errors demonstrate that the proposed hybrid UE positioning method is effective in localizing a moving vehicle with better accuracy. (C) Springer International Publishing Switzerland 2015.
Czech name
—
Czech description
—

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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