VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026)
DOI: 10.1109/vetecs.2000.851425
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Accurate vehicular positioning using a DAB-GSM hybrid system

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Cited by 17 publications
(16 citation statements)
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“…A detailed description of the non-synchronized solution can be found in [12] in which the authors propose Digital Audio Broadcast (DAB) stations instead of GPS satellites, but their proposal can easily be extended to A-GPS and GSM/UMTS. Again, the way in which the measurements are combined or weighted has an impact on the accuracy of the position estimate but not on the coverage.…”
Section: B Tight Non-synchronized Combinationmentioning
confidence: 99%
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“…A detailed description of the non-synchronized solution can be found in [12] in which the authors propose Digital Audio Broadcast (DAB) stations instead of GPS satellites, but their proposal can easily be extended to A-GPS and GSM/UMTS. Again, the way in which the measurements are combined or weighted has an impact on the accuracy of the position estimate but not on the coverage.…”
Section: B Tight Non-synchronized Combinationmentioning
confidence: 99%
“…Several approaches to transmit this synchronization assistance information between E-OTD and A-GPS have been presented in [13]. The position can be calculated at the terminal with signals received from 3 elements -either BS or SAT [12,14].…”
Section: Tight Synchronized Combinationmentioning
confidence: 99%
“…The Global Positioning System (GPS) is the most popular positioning technique in navigation providing reliable mobile location estimates in many applications [1][2][3][4]. Thus wireless location systems offering reliable mobile location estimates have been studied by researchers and engineers over the past few years.…”
Section: Introductionmentioning
confidence: 99%
“…So, techniques were developed using filters to estimate the location of the user through the location information exchanged between the handset and the base station. Kalman Filter has been used in the localization process [4][5][6][7], due to the following advantages mentioned in [6]: (a) Kalman Filter [5,[8][9][10] processes noisy measurements and so it can smooth out the effects of noise in the estimated state variables by integrating more information from reliable data more than unreliable data and (b) Kalman Filter allows the combination of measurements from different sources (locomotion data) and different times. Kalman Filter was implemented for Global Systems for Mobile (GSM) position tracking in [6]: Kalman Filter was used for tracking in two dimensions and it was stated that Kalman Filter is very powerful due to its reliable performance, because it yielded enhanced position tracking results.…”
Section: Introductionmentioning
confidence: 99%
“…Hybrids combine measurements taken using several techniques in order to take advantage of the strong points of each one [3][4][5][6][7]. These techniques enhance the QoS offered by the system and allow more LBSs to be offered.…”
Section: Introductionmentioning
confidence: 99%