Standardization of mobile phone positioning for 3G systems

Zhao, Yilin

doi:10.1109/mcom.2002.1018015

Cited by 322 publications

(16 citation statements)

References 2 publications

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“…In geometrical triangulation, researchers assume that the measured noise is additive and the NLOS error is a large positive bias where the measured ranges are greater than the acceptable values [2]. These techniques require three wireless links to be established simultaneously with three access points.…”

Section: Triangular Convergence Localization -Tclmentioning

confidence: 99%

“…Recently, mobile location estimation has attracted significant attention for various types of applications. These applications have stimulated research on location-finding techniques [1,2,3,4]. Location-finding refers to the process of obtaining the location information of a mobile station (MS) with respect to a set of reference positions within a predefined space [5].…”

Section: Introductionmentioning

confidence: 99%

“…In the literature, a variety of wireless location techniques have been studied and investigated [2,6,7]. Location-estimation techniques can be divided into three general categories: proximity, triangulation, and scene analysis.…”

Section: Introductionmentioning

confidence: 99%

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Mobile geolocation techniques for indoor environment monitoring

2020

KSII TIIS

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Advances in localization-based technologies and the increase in ubiquitous computing have led to a growing interest in location-based applications and services. High accuracy of the position of a wireless device is still a crucial requirement to be satisfied. Firstly, the rapid development of wireless communication technologies has affected the location accuracy of radio monitoring systems employed locally and globally. Secondly, the location is determined using standard complex computing methods and needs a relatively long execution time. In this paper, two geolocalization techniques, based on trigonometric and CORDIC computing processes, are proposed and implemented for Bluetooth-based indoor monitoring applications. Theoretical analysis and simulation results are investigated in terms of accuracy, scalability, and responsiveness. They show that the proposed techniques can locate a target wireless device accurately and are well suited for timing estimation.

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Section: Triangular Convergence Localization -Tclmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mobile geolocation techniques for indoor environment monitoring

2020

KSII TIIS

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“…The accuracy provided by the OTDOA is 0.5 chip error [50,61]. The chip duration T b and the speed of light c are used in Eq.…”

Section: Input Generatormentioning

confidence: 99%

Advanced Train Location Simulator (ATLAS) for developing, testing and validating on-board railway location systems

Goya

Zamora-Cadenas

Arrizabalaga

et al. 2015

Eur. Transp. Res. Rev.

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Purpose This article focuses on a novel Advanced Train LocAtion Simulator (ATLAS) for on-board railway location using wireless communication technologies, such as satellite navigation and location based systems. ATLAS allows the creation of multiple simulation environments providing a versatile tool for testing and assessing new train location services. This enhancement reduces the number of tests performed in real scenarios and trains, reducing the cost and development time of new location systems as well as assessing the performance level for given tracks. Methods The simulation platform is based on modular blocks, where each block can be replaced or improved. The

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“…The timing-difference concept is also used for the localisation of mobile stations, as shown in [21,22], whereas the author of [23] analysed the accuracy of cellular mobile station location estimation. Standardisation of mobile phone positioning for 3G systems has been proposed in [24], whereas, in [25], different techniques, including TDOA, are analysed to track and localise mobile phones. In [26], the authors addressed a joint source location and propagation speed estimation using TDOA; the approach is necessary in scenarios, such as underwater acoustic localisation, where the signal velocity is unknown.…”

Section: Introductionmentioning

confidence: 99%

Multi-Network Asynchronous TDOA Algorithm Test in a Simulated Maritime Scenario

Gioia

Sermi

Tarchi

2020

Sensors

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In the last few years, the number of applications relying on position of vessels at sea has grown significantly. Usually, these applications exploit information provided by the Automatic Identification System (AIS). Unfortunately, the cooperative nature of AIS makes it vulnerable to different types of attack. Therefore, especially for critical applications, the veracity of the position information reported in the AIS message needs to be verified. Several techniques can be adopted to this end. This paper presents a mathematical extension of the traditional Time Difference Of Arrival (TDOA) localisation technique allowing merging TDOA measurement from synchronous and non-synchronous receivers. This technique was tested in a simulated scenario, where the position of a moving target was estimated using different configurations of the receivers network. The robustness of the proposed algorithm with respect to the traditional one is demonstrated. The proposed approach, which is derived form satellite applications, is not limited to the AIS signals or to the maritime domain, and it can be adopted to estimate the position of any radiofrequency transmitter, by employing a suitable number of non-synchronous receivers.

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Standardization of mobile phone positioning for 3G systems

Cited by 322 publications

References 2 publications

Mobile geolocation techniques for indoor environment monitoring

Mobile geolocation techniques for indoor environment monitoring

Advanced Train Location Simulator (ATLAS) for developing, testing and validating on-board railway location systems

Multi-Network Asynchronous TDOA Algorithm Test in a Simulated Maritime Scenario

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