Hybrid U-TDOA and A-GPS for vehicle positioning and tracking
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Hybrid U-TDOA and A-GPS for vehicle positioning and tracking
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Hybrid U-TDOA and A-GPS for vehicle positioning and tracking
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Lecture Notes in Computer Science. Volume 9121
ISBN
978-3-319-19643-5
ISSN
0302-9743
e-ISSN
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Počet stran výsledku
15
Strana od-do
605-619
Název nakladatele
Springer Verlag
Místo vydání
London
Místo konání akce
Bilbao
Datum konání akce
22. 6. 2015
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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