Method for positioning GSM mobile stations using absolute time delay measurements

Pent, Mario; Spirito, Maurizio A.; Turco, Emanuele

doi:10.1049/el:19971375

Cited by 47 publications

(21 citation statements)

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“…An orbit tracking filter similar to this problem is found in Chaer et al (1998). Positioning in GSM cellular phone systems using range information of the same kind as in the GPS is reported in Pent et al (1997). 0 Selected availability (SA) (60 m).…”

Section: Linearized Kalman Filter Approachmentioning

confidence: 94%

Adaptive Filtering and Change Detection

Gustafsson¹

2001

595

699

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Section: Linearized Kalman Filter Approachmentioning

confidence: 94%

Adaptive Filtering and Change Detection

Gustafsson¹

2001

595

699

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“…However, compared with closed-form solutions, numerical methods have higher computational complexity. Some numerical methods are based on a linearization of the trilateration problem [40][41][42], introducing additional errors into position estimation. Common numerical techniques such as Newton's method or steepest descent have also been proposed [38,40,41].…”

Section: Trilaterationmentioning

confidence: 99%

“…While asymptotically unbiased, the nonlinear nature of the above cost functions requires numerical search methods for minimization, which comes with increased computational complexity compared to closed-form solutions and can become vulnerable to convergence problems under bad initialization, poor geometry between sources and sensors, high noise, or insufficient number of measurements. To surpass some of these problems, some methods form geometrical constraints between the measured data and result in better convergence properties than the maximum likelihood estimator [59] or try to directly minimize the mean squared location error [60] instead of minimizing the total bearing error in (41) and (42).…”

Section: Single Source Localization Through Doasmentioning

confidence: 99%

“…Moreover, as the measurements are angles, the GB method proposes the use of the Angular Distance-taking values in the range of [0, ]-as a more proper measure of similarity than the absolute distance of (42). The GB method estimates the source location by finding the grid point whose DOAs most closely match the estimated DOAs from the sensors by solving…”

Section: Single Source Localization Through Doasmentioning

confidence: 99%

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A Survey of Sound Source Localization Methods in Wireless Acoustic Sensor Networks

Cobos

Antonacci

Alexandridis

et al. 2017

Wireless Communications and Mobile Computing

113

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Wireless acoustic sensor networks (WASNs) are formed by a distributed group of acoustic-sensing devices featuring audio playing and recording capabilities. Current mobile computing platforms offer great possibilities for the design of audio-related applications involving acoustic-sensing nodes. In this context, acoustic source localization is one of the application domains that have attracted the most attention of the research community along the last decades. In general terms, the localization of acoustic sources can be achieved by studying energy and temporal and/or directional features from the incoming sound at different microphones and using a suitable model that relates those features with the spatial location of the source (or sources) of interest. This paper reviews common approaches for source localization in WASNs that are focused on different types of acoustic features, namely, the energy of the incoming signals, their time of arrival (TOA) or time difference of arrival (TDOA), the direction of arrival (DOA), and the steered response power (SRP) resulting from combining multiple microphone signals. Additionally, we discuss methods not only aimed at localizing acoustic sources but also designed to locate the nodes themselves in the network. Finally, we discuss current challenges and frontiers in this field.

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“…Pent et al [10] and Lee [11] propose methods to measure the GDOP and demonstrate the effect on their simulated results. In theory, it will be possible to reject certain measurements using GDOP analysis.…”

Section: Geometric Dilution Of Precision (Gdop)mentioning

confidence: 99%

Critical analysis and error determination of locating-finding techniques in GSM

Buchanan

Muñoz

Raja

2005

IJMC

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GPS is a well-established technique for location-finding, but mobile phone-based methods are generally less expensive to implement, and can give reasonable accuracies. These techniques can thus be useful to network operators in providing services based on geographical locations, and also to users. This paper reviews the main handset location techniques used within a GSM network, and critically appraises them. The main techniques covered include Cell-ID, E-CGI, TDOA, AOA, TOA, OTA and Timing Advance (TA). It also outlines a practical experiment in the UK in locating finding, which uses TA signal to locate the handset. The results show how an experiment can be conducted to determine the error in the location measurement.Keywords: Location-finding, GPS, Cell-ID, TDOA, AOA, TOA, OTD, Timing Advance.Biographical notes: WJ Buchanan is a Reader in the School of Computing at Napier University, and leads the Distributed Systems and Mobile Agents (DSMA) research group. He has a PhD and has written more than 20 academic books, and published over 50 research papers. KA Raja is a software engineer working at Justfone Limited. He gained a degree in Electronics and Communication Engineering in 1997 and an MSc. in Software Engineering in 2001. He is currently completing an MPhil in locationfinding techniques. His main interest are in wireless communication networks and wireless application solutions. J M Munoz is a Senior Lecturer at Napier University. He obtained his PhD in Computational Physics in 1981, and worked in industry developing system and communications software, before joining the University in 1988. Current research interests include congestion control and network security, and is a member of the DSMA research group.

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Method for positioning GSM mobile stations using absolute time delay measurements

Cited by 47 publications

References 1 publication

Adaptive Filtering and Change Detection

Adaptive Filtering and Change Detection

A Survey of Sound Source Localization Methods in Wireless Acoustic Sensor Networks

Critical analysis and error determination of locating-finding techniques in GSM

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