An experimental evaluation of network-based methods for mobile station positioning

Pettersen, M.; Eckhoff, R.; Lehne, Per Hjalmar; Worren, T.A.; Melby, E.

doi:10.1109/pimrc.2002.1046552

Cited by 11 publications

(5 citation statements)

References 2 publications

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“…Actually, this is the only difference. The mobile station coordinates are determined applying Equations (25) and (26), while the standard deviation is obtained applying Equation (27).…”

Section: The Methods Of Circlesmentioning

confidence: 99%

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A comparison of three methods to determine mobile station location in cellular communication systems

Simić

Pejović

2008

Trans Emerging Tel Tech

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Three methods to determine location of a mobile station in cellular communication systems are proposed and compared in this paper. The methods are introduced taking global system for mobile communications (GSM) networks as an example, although the results could be generalised for application in universal mobile telecommunications system (UMTS) networks. All three of the methods determine the mobile station location using coordinates of several base stations and corresponding timing advance (TA) parameter values. The values of the TA parameter are obtained applying the forced handover technique. The first method, the method of squares, locates the mobile station in a square region according to the data provided by one base station. The data are collected for several base stations and assembled such the mobile station is located in an intersection of the square regions, which takes a rectangular shape. This rectangle may be refined by the other two methods. The method of annuli locates the mobile station in an annular region, according to the definition of the TA parameter, while the method of circles locates the mobile station within a circular region. The region of the mobile station location is obtained as an intersection of the regions, again. In this manner, the area where the mobile station might be located is reduced. The mobile station coordinates are estimated applying a probabilistic approach, treating the mobile station coordinates as a two-dimensional random variable. It is shown that the methods of squares and circles are robust, not being affected by indirect wave propagation, while the method of annuli provides the best localisation, but it is sensitive on indirect wave propagation. The methods are verified applying simulation of a real GSM network.

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“…Actually, this is the only difference. The mobile station coordinates are determined applying Equations (25) and (26), while the standard deviation is obtained applying Equation (27).…”

Section: The Methods Of Circlesmentioning

confidence: 99%

“…The enhanced Cell-ID method in GSM that applies the TA parameter value, Cell-ID þ TA, improves the precision further by applying so called forced handover method, [1,10,12,[23][24][25]. Essentially, this refinement of the method reduces to collecting Cell-ID and corresponding TA parameter values for several base stations.…”

Section: Introductionmentioning

confidence: 99%

A comparison of three methods to determine mobile station location in cellular communication systems

Simić

Pejović

2008

Trans Emerging Tel Tech

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“…Due to denser network deployments, increased availability of non-operator controlled positioning and improved positioning methods; more work has recently been focusing on RSS-based positioning. In [4], fundamental limits of cellular positioning were analyzed with special focus on RSSbased fingerprinting techniques. A good overview of fundamental limits of cellular positioning systems, including map matching and motion models was given in [8].…”

Section: Related Workmentioning

confidence: 99%

Cellular positioning using fingerprinting based on observed time differences

Gundegard

Akram

Fowler

et al. 2013

2013 International Conference on Smart Communications in Network Technologies (SaCoNeT)

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Cellular positioning has been a very active research area for the last decade. Large improvement in accuracy has been made to support, for example, e-call and other location-based services. Traditionally, cellular positioning has been limited to cellular operators equipped with expensive synchronization hardware in order to achieve good accuracy. Lately, third parties have employed fingerprinting methods to enable positioning systems independent from the cellular operators. With improved available processing power, denser cellular networks, cheaper data collection and efficient pattern matching algorithms, the fingerprinting positioning methods have also gained popularity. In this paper, we analyzed the potential of using System Frame Number (SFN) -SFN observed time differences, which are traditionally used in Time Difference of Arrival (TDOA) positioning, for fingerprinting-based positioning. A field test was performed using measurements from TEMS (Telecommunication Management System) Investigation. By combining SFN-SFN observed time differences with Received Signal Code Power (RSCP) measurements, we demonstrated an improved accuracy of the fingerprinting method by 20% compared to only using RSCP measurements. The results are promising and show good potential in using SFN-SFN observed time differences for positioning based on fingerprinting.

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“…It would in principle be possible to obtain the Timing Advance values computed by some of the neighboring WATs and hence to remove some other points from the subset R , by means of the so‐called Forced handover method 26, 27: the MS is forced to perform one or more handovers, as the TA value is assigned only by the serving WAT. Nevertheless, the resulting need for software modifications in the BSS, the degradation of call quality and the reduction of the system capacity (since extra signaling is required) may discourage its implementation; an alternative is represented by the usage of the simulated TA parameters calculated from the serving WAT to its neighbors 28.…”

Section: The Proposed Hybrid Algorithmmentioning

confidence: 99%

A novel hybrid algorithm for passive localization of victims in emergency situations

Tassetto

Fazli

Werner

2010

Satell Commun Network

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SUMMARYResponding to a disaster means, above all, enabling the rescue teams to acquire information such as the number of victims involved, their health condition and how to reach them. For this purpose, an accurate estimate of the position of emergency workers and victims is required; although the former may be equipped with devices supporting positioning capabilities (e.g. GPS-embedded terminals), the latter may simply own a common mobile phone or a laptop.The present work addresses the most challenging issue of achieving the information concerning victims without relying on their active involvement in the overall procedure. An effective and simple algorithm, called Hybrid Algorithm, suitable for 2D passive localization in cellular networks is presented. This novel method fulfils the stringent requirements of the system developed within the EC FP6 research project WISECOM that aims at restoring GSM or 3G infrastructure, besides providing WiFi and Wimax connections, thanks to the backhauling over satellite and to support logistics of rescue teams during emergency situations by tracking victims as well as themselves.The proposed novel Hybrid Algorithm is capable of providing reliable information to rescue workers regarding every person owing nothing else but an ordinary mobile phone. Moreover, it does not require any software or hardware change in the user's terminal and is fully consistent with GSM standards.Its implementation on a cell phone is even less involved and may represent a convenient option for network providers to offer additional features to their subscribers.

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An experimental evaluation of network-based methods for mobile station positioning

Cited by 11 publications

References 2 publications

A comparison of three methods to determine mobile station location in cellular communication systems

A comparison of three methods to determine mobile station location in cellular communication systems

Cellular positioning using fingerprinting based on observed time differences

A novel hybrid algorithm for passive localization of victims in emergency situations

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