Mobile terminal location for UMTS

Ahonen, Suvi; Eskelinen, Pekka

doi:10.1109/maes.2003.1183866

Cited by 47 publications

(18 citation statements)

References 3 publications

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“…If it is not, the timing estimates are subject to error due to reflection and multipath. In urban environments this method gives a location accuracy of approximately 215 metres of error within the 67th percentile (2003, Ahonen and Eskelinen). Angle of Arrival.…”

Section: Cellular Networkmentioning

confidence: 98%

Survey of Technologies for the Implementation of National‐scale Road User Charging

2007

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This paper surveys the technologies available for constructing a pervasive, national-scale road pricing system. It defines the different types of road pricing, the methods by which a vehicle's position can be determined, and then examines possible pricing regimes in the context of their technological requirements and implications. The issue of enforcement and the distribution of pricing policies are considered, and further complexities are outlined. An examination of the security aspects of such systems is made, focusing particularly on the need to ensure privacy using technological, rather than solely procedural, methods. The survey concludes that a pervasive, national-scale deployment is unlikely to be technically achievable in the short term.

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Section: Cellular Networkmentioning

confidence: 98%

Survey of Technologies for the Implementation of National‐scale Road User Charging

2007

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“…The application of similar nonparametric estimation techniques has been shown to provide excellent results during field tests in complex indoor environments [14], [15]. Accurate nonparametric location estimation based on high-resolution measurements of the multipath delay profiles has also been demonstrated for a simulated complex outdoor urban environment [16].…”

Section: Introductionmentioning

confidence: 95%

Data fusion of power and time measurements for mobile terminal location

McGuire

Plataniotis

Venetsanopoulos

2005

IEEE Trans. on Mobile Comput.

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Abstract-The location of mobile terminals in cellular networks is an important problem with applications in resource allocation, location sensitive browsing, and emergency communications. Finding cost effective location estimation techniques that are robust to Non-Line of Sight (NLOS) propagation, quantization, and measurement noise is a key problem in this area. Quantized time difference of arrival (TDoA) and received signal strength (RSS) measurements can be made simultaneously by CDMA cellular networks at low cost. The different sources of errors for each measurement type cause RSS and TDoA measurements to contain independent information about mobile terminal location. This paper applies data fusion to combine the information of RSS and TDoA measurements to calculate a superior location estimate. Nonparametric estimation methods, that are robust to variations of measurement noise and quantization, are employed to calculate the location estimates. It is shown how the data fusion location estimators are robust, provide lower error than the estimators based on the individual measurements, and have low implementation cost.

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“…Furthermore, SS measurements may be added to TOA-or OTDOA-based methods to increase *Correspondence: rjativa@usfq.edu.ec 1 Universidad San Francisco de Quito, Diego de Robles y Pampite, Quito, Ecuador Full list of author information is available at the end of the article positioning accuracy in line of sight (LOS) environments, such as indoors, using ultra-wide band radios (UWB) or wireless sensor networks [9][10][11][12]. The position may be estimated from these parameters using propagation relations or pattern recognition techniques [9,13].…”

Section: Introductionmentioning

confidence: 99%

Cramer-Rao bounds in the estimation of time of arrival in fading channels

Jativa

Vidal

2018

EURASIP J. Adv. Signal Process.

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This paper computes the Cramer-Rao bounds for the time of arrival estimation in a multipath Rice and Rayleigh fading scenario, conditioned to the previous estimation of a set of propagation channels, since these channel estimates (correlation between received signal and the pilot sequence) are sufficient statistics in the estimation of delays. Furthermore, channel estimation is a constitutive block in receivers, so we can take advantage of this information to improve timing estimation by using time and space diversity. The received signal is modeled as coming from a scattering environment that disperses the signal both in space and time. Spatial scattering is modeled with a Gaussian distribution and temporal dispersion as an exponential random variable. The impact of the sampling rate, the roll-off factor, the spatial and temporal correlation among channel estimates, the number of channel estimates, and the use of multiple sensors in the antenna at the receiver is studied and related to the mobile subscriber positioning issue. To our knowledge, this model is the only one of its kind as a result of the relationship between the space-time diversity and the accuracy of the timing estimation.

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Mobile terminal location for UMTS

Cited by 47 publications

References 3 publications

Survey of Technologies for the Implementation of National‐scale Road User Charging

Survey of Technologies for the Implementation of National‐scale Road User Charging

Data fusion of power and time measurements for mobile terminal location

Cramer-Rao bounds in the estimation of time of arrival in fading channels

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